R Under development (unstable) (2026-01-07 r89288 ucrt) -- "Unsuffered Consequences" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > if ( requireNamespace("tinytest", quietly=TRUE) ){ + tinytest::test_package("VIM") + } Loading required package: colorspace Loading required package: grid VIM is ready to use. Suggestions and bug-reports can be submitted at: https://github.com/statistikat/VIM/issues Attaching package: 'VIM' The following object is masked from 'package:datasets': sleep test_IRMI_ordered.R........... 0 tests test_IRMI_ordered.R........... 0 tests test_IRMI_ordered.R........... 1 tests OK test_IRMI_ordered.R........... 2 tests OK Start: AIC=1375.39 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1355.5 1373.5 - b 1 1355.6 1373.6 - v2 1 1356.1 1374.1 - m 1 1356.8 1374.8 1355.4 1375.4 - v1 1 1363.0 1381.0 - c 4 1375.5 1387.5 Step: AIC=1373.45 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1355.6 1371.6 - v2 1 1356.1 1372.1 - m 1 1356.9 1372.9 1355.5 1373.5 - v1 1 1363.0 1379.0 - c 4 1375.6 1385.6 Step: AIC=1371.64 y ~ v1 + v2 + m + c Df Deviance AIC - v2 1 1356.3 1370.3 - m 1 1357.1 1371.1 1355.6 1371.6 - v1 1 1363.4 1377.4 - c 4 1375.7 1383.7 Step: AIC=1370.33 y ~ v1 + m + c Df Deviance AIC - m 1 1357.8 1369.8 1356.3 1370.3 - v1 1 1364.0 1376.0 - c 4 1376.2 1382.2 Step: AIC=1369.85 y ~ v1 + c Df Deviance AIC 1357.8 1369.8 - v1 1 1365.3 1375.3 - c 4 1377.5 1381.5 Start: AIC=1273.34 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - v2 1 1253.5 1271.5 - co 1 1253.6 1271.6 - b 1 1254.0 1272.0 - m 1 1254.1 1272.1 1253.3 1273.3 - v1 1 1285.6 1303.6 - c 4 1343.1 1355.1 Step: AIC=1271.47 y ~ v1 + m + b + c + co Df Deviance AIC - co 1 1253.7 1269.7 - b 1 1254.1 1270.1 - m 1 1254.3 1270.3 1253.5 1271.5 - v1 1 1285.6 1301.6 - c 4 1343.1 1353.1 Step: AIC=1269.7 y ~ v1 + m + b + c Df Deviance AIC - b 1 1254.3 1268.3 - m 1 1254.5 1268.5 1253.7 1269.7 - v1 1 1285.9 1299.9 - c 4 1343.4 1351.4 Step: AIC=1268.35 y ~ v1 + m + c Df Deviance AIC - m 1 1255.2 1267.2 1254.3 1268.3 - v1 1 1287.1 1299.1 - c 4 1343.5 1349.5 Step: AIC=1267.19 y ~ v1 + c Df Deviance AIC 1255.2 1267.2 - v1 1 1287.7 1297.7 - c 4 1344.0 1348.0 Start: AIC=1267.38 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1247.5 1265.5 - b 1 1247.9 1265.9 - v2 1 1248.3 1266.3 - m 1 1248.5 1266.5 1247.4 1267.4 - v1 1 1272.5 1290.5 - c 4 1349.2 1361.2 Step: AIC=1265.51 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1248.0 1264.0 - v2 1 1248.4 1264.4 - m 1 1248.7 1264.7 1247.5 1265.5 - v1 1 1272.6 1288.6 - c 4 1349.3 1359.3 Step: AIC=1263.98 y ~ v1 + v2 + m + c Df Deviance AIC - v2 1 1248.9 1262.9 - m 1 1249.1 1263.1 1248.0 1264.0 - v1 1 1273.5 1287.5 - c 4 1349.4 1357.4 Step: AIC=1262.86 y ~ v1 + m + c Df Deviance AIC - m 1 1250.1 1262.1 1248.9 1262.9 - v1 1 1274.2 1286.2 - c 4 1350.0 1356.0 Step: AIC=1262.11 y ~ v1 + c Df Deviance AIC 1250.1 1262.1 - v1 1 1275.2 1285.2 - c 4 1350.7 1354.7 Start: AIC=1260.73 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1240.8 1258.8 - b 1 1241.2 1259.2 - m 1 1241.4 1259.4 1240.7 1260.7 - v2 1 1243.0 1261.0 - v1 1 1258.1 1276.1 - c 4 1357.3 1369.3 Step: AIC=1258.83 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1241.3 1257.3 - m 1 1241.5 1257.5 1240.8 1258.8 - v2 1 1243.1 1259.1 - v1 1 1258.3 1274.3 - c 4 1357.4 1367.4 Step: AIC=1257.29 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1242.0 1256.0 1241.3 1257.3 - v2 1 1243.6 1257.6 - v1 1 1259.1 1273.1 - c 4 1357.5 1365.5 Step: AIC=1255.99 y ~ v1 + v2 + c Df Deviance AIC 1242.0 1256.0 - v2 1 1244.4 1256.4 - v1 1 1259.6 1271.6 - c 4 1357.7 1363.7 Start: AIC=1256.21 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - b 1 1236.3 1254.3 - co 1 1236.7 1254.7 - m 1 1236.9 1254.9 1236.2 1256.2 - v2 1 1239.6 1257.6 - v1 1 1244.8 1262.8 - c 4 1363.4 1375.4 Step: AIC=1254.27 y ~ v1 + v2 + m + c + co Df Deviance AIC - co 1 1236.8 1252.8 - m 1 1237.0 1253.0 1236.3 1254.3 - v2 1 1239.6 1255.6 - v1 1 1245.0 1261.0 - c 4 1363.4 1373.4 Step: AIC=1252.79 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1237.5 1251.5 1236.8 1252.8 - v2 1 1240.1 1254.1 - v1 1 1245.5 1259.5 - c 4 1364.0 1372.0 Step: AIC=1251.53 y ~ v1 + v2 + c Df Deviance AIC 1237.5 1251.5 - v2 1 1241.0 1253.0 - v1 1 1246.2 1258.2 - c 4 1364.2 1370.2 Start: AIC=1252.83 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - b 1 1232.9 1250.9 - co 1 1233.2 1251.2 - m 1 1233.4 1251.4 1232.8 1252.8 - v2 1 1235.1 1253.1 - v1 1 1236.2 1254.2 - c 4 1371.0 1383.0 Step: AIC=1250.93 y ~ v1 + v2 + m + c + co Df Deviance AIC - co 1 1233.3 1249.3 - m 1 1233.5 1249.5 1232.9 1250.9 - v2 1 1235.2 1251.2 - v1 1 1236.3 1252.3 - c 4 1371.0 1381.0 Step: AIC=1249.3 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1233.9 1247.9 1233.3 1249.3 - v2 1 1235.5 1249.5 - v1 1 1236.8 1250.8 - c 4 1371.4 1379.4 Step: AIC=1247.87 y ~ v1 + v2 + c Df Deviance AIC 1233.9 1247.9 - v2 1 1236.2 1248.2 - v1 1 1237.3 1249.3 - c 4 1371.5 1377.5 Start: AIC=1252.22 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - b 1 1232.4 1250.4 - co 1 1232.6 1250.6 - m 1 1232.8 1250.8 - v2 1 1234.0 1252.0 1232.2 1252.2 - v1 1 1235.2 1253.2 - c 4 1372.1 1384.1 Step: AIC=1250.37 y ~ v1 + v2 + m + c + co Df Deviance AIC - co 1 1232.8 1248.8 - m 1 1232.9 1248.9 - v2 1 1234.2 1250.2 1232.4 1250.4 - v1 1 1235.4 1251.4 - c 4 1372.1 1382.1 Step: AIC=1248.77 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1233.3 1247.3 - v2 1 1234.5 1248.5 1232.8 1248.8 - v1 1 1235.8 1249.8 - c 4 1372.4 1380.4 Step: AIC=1247.34 y ~ v1 + v2 + c Df Deviance AIC - v2 1 1235.2 1247.2 1233.3 1247.3 - v1 1 1236.4 1248.4 - c 4 1372.6 1378.6 Step: AIC=1247.17 y ~ v1 + c Df Deviance AIC 1235.2 1247.2 - v1 1 1238.1 1248.1 - c 4 1373.9 1377.9 test_IRMI_ordered.R........... 3 tests OK test_IRMI_ordered.R........... 4 tests OK Start: AIC=1375.39 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1355.5 1373.5 - b 1 1355.6 1373.6 - v2 1 1356.1 1374.1 - m 1 1356.8 1374.8 1355.4 1375.4 - v1 1 1363.0 1381.0 - c 4 1375.5 1387.5 Step: AIC=1373.45 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1355.6 1371.6 - v2 1 1356.1 1372.1 - m 1 1356.9 1372.9 1355.5 1373.5 - v1 1 1363.0 1379.0 - c 4 1375.6 1385.6 Step: AIC=1371.64 y ~ v1 + v2 + m + c Df Deviance AIC - v2 1 1356.3 1370.3 - m 1 1357.1 1371.1 1355.6 1371.6 - v1 1 1363.4 1377.4 - c 4 1375.7 1383.7 Step: AIC=1370.33 y ~ v1 + m + c Df Deviance AIC - m 1 1357.8 1369.8 1356.3 1370.3 - v1 1 1364.0 1376.0 - c 4 1376.2 1382.2 Step: AIC=1369.85 y ~ v1 + c Df Deviance AIC 1357.8 1369.8 - v1 1 1365.3 1375.3 - c 4 1377.5 1381.5 Start: AIC=1273.34 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - v2 1 1253.5 1271.5 - co 1 1253.6 1271.6 - b 1 1254.0 1272.0 - m 1 1254.1 1272.1 1253.3 1273.3 - v1 1 1285.6 1303.6 - c 4 1343.1 1355.1 Step: AIC=1271.47 y ~ v1 + m + b + c + co Df Deviance AIC - co 1 1253.7 1269.7 - b 1 1254.1 1270.1 - m 1 1254.3 1270.3 1253.5 1271.5 - v1 1 1285.6 1301.6 - c 4 1343.1 1353.1 Step: AIC=1269.7 y ~ v1 + m + b + c Df Deviance AIC - b 1 1254.3 1268.3 - m 1 1254.5 1268.5 1253.7 1269.7 - v1 1 1285.9 1299.9 - c 4 1343.4 1351.4 Step: AIC=1268.35 y ~ v1 + m + c Df Deviance AIC - m 1 1255.2 1267.2 1254.3 1268.3 - v1 1 1287.1 1299.1 - c 4 1343.5 1349.5 Step: AIC=1267.19 y ~ v1 + c Df Deviance AIC 1255.2 1267.2 - v1 1 1287.7 1297.7 - c 4 1344.0 1348.0 Start: AIC=1267.38 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1247.5 1265.5 - b 1 1247.9 1265.9 - v2 1 1248.3 1266.3 - m 1 1248.5 1266.5 1247.4 1267.4 - v1 1 1272.5 1290.5 - c 4 1349.2 1361.2 Step: AIC=1265.51 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1248.0 1264.0 - v2 1 1248.4 1264.4 - m 1 1248.7 1264.7 1247.5 1265.5 - v1 1 1272.6 1288.6 - c 4 1349.3 1359.3 Step: AIC=1263.98 y ~ v1 + v2 + m + c Df Deviance AIC - v2 1 1248.9 1262.9 - m 1 1249.1 1263.1 1248.0 1264.0 - v1 1 1273.5 1287.5 - c 4 1349.4 1357.4 Step: AIC=1262.86 y ~ v1 + m + c Df Deviance AIC - m 1 1250.1 1262.1 1248.9 1262.9 - v1 1 1274.2 1286.2 - c 4 1350.0 1356.0 Step: AIC=1262.11 y ~ v1 + c Df Deviance AIC 1250.1 1262.1 - v1 1 1275.2 1285.2 - c 4 1350.7 1354.7 Start: AIC=1260.73 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - co 1 1240.8 1258.8 - b 1 1241.2 1259.2 - m 1 1241.4 1259.4 1240.7 1260.7 - v2 1 1243.0 1261.0 - v1 1 1258.1 1276.1 - c 4 1357.3 1369.3 Step: AIC=1258.83 y ~ v1 + v2 + m + b + c Df Deviance AIC - b 1 1241.3 1257.3 - m 1 1241.5 1257.5 1240.8 1258.8 - v2 1 1243.1 1259.1 - v1 1 1258.3 1274.3 - c 4 1357.4 1367.4 Step: AIC=1257.29 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1242.0 1256.0 1241.3 1257.3 - v2 1 1243.6 1257.6 - v1 1 1259.1 1273.1 - c 4 1357.5 1365.5 Step: AIC=1255.99 y ~ v1 + v2 + c Df Deviance AIC 1242.0 1256.0 - v2 1 1244.4 1256.4 - v1 1 1259.6 1271.6 - c 4 1357.7 1363.7 Start: AIC=1256.21 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - b 1 1236.3 1254.3 - co 1 1236.7 1254.7 - m 1 1236.9 1254.9 1236.2 1256.2 - v2 1 1239.6 1257.6 - v1 1 1244.8 1262.8 - c 4 1363.4 1375.4 Step: AIC=1254.27 y ~ v1 + v2 + m + c + co Df Deviance AIC - co 1 1236.8 1252.8 - m 1 1237.0 1253.0 1236.3 1254.3 - v2 1 1239.6 1255.6 - v1 1 1245.0 1261.0 - c 4 1363.4 1373.4 Step: AIC=1252.79 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1237.5 1251.5 1236.8 1252.8 - v2 1 1240.1 1254.1 - v1 1 1245.5 1259.5 - c 4 1364.0 1372.0 Step: AIC=1251.53 y ~ v1 + v2 + c Df Deviance AIC 1237.5 1251.5 - v2 1 1241.0 1253.0 - v1 1 1246.2 1258.2 - c 4 1364.2 1370.2 Start: AIC=1252.83 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - b 1 1232.9 1250.9 - co 1 1233.2 1251.2 - m 1 1233.4 1251.4 1232.8 1252.8 - v2 1 1235.1 1253.1 - v1 1 1236.2 1254.2 - c 4 1371.0 1383.0 Step: AIC=1250.93 y ~ v1 + v2 + m + c + co Df Deviance AIC - co 1 1233.3 1249.3 - m 1 1233.5 1249.5 1232.9 1250.9 - v2 1 1235.2 1251.2 - v1 1 1236.3 1252.3 - c 4 1371.0 1381.0 Step: AIC=1249.3 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1233.9 1247.9 1233.3 1249.3 - v2 1 1235.5 1249.5 - v1 1 1236.8 1250.8 - c 4 1371.4 1379.4 Step: AIC=1247.87 y ~ v1 + v2 + c Df Deviance AIC 1233.9 1247.9 - v2 1 1236.2 1248.2 - v1 1 1237.3 1249.3 - c 4 1371.5 1377.5 Start: AIC=1252.22 y ~ v1 + v2 + m + b + c + co Df Deviance AIC - b 1 1232.4 1250.4 - co 1 1232.6 1250.6 - m 1 1232.8 1250.8 - v2 1 1234.0 1252.0 1232.2 1252.2 - v1 1 1235.2 1253.2 - c 4 1372.1 1384.1 Step: AIC=1250.37 y ~ v1 + v2 + m + c + co Df Deviance AIC - co 1 1232.8 1248.8 - m 1 1232.9 1248.9 - v2 1 1234.2 1250.2 1232.4 1250.4 - v1 1 1235.4 1251.4 - c 4 1372.1 1382.1 Step: AIC=1248.77 y ~ v1 + v2 + m + c Df Deviance AIC - m 1 1233.3 1247.3 - v2 1 1234.5 1248.5 1232.8 1248.8 - v1 1 1235.8 1249.8 - c 4 1372.4 1380.4 Step: AIC=1247.34 y ~ v1 + v2 + c Df Deviance AIC - v2 1 1235.2 1247.2 1233.3 1247.3 - v1 1 1236.4 1248.4 - c 4 1372.6 1378.6 Step: AIC=1247.17 y ~ v1 + c Df Deviance AIC 1235.2 1247.2 - v1 1 1238.1 1248.1 - c 4 1373.9 1377.9 test_IRMI_ordered.R........... 5 tests OK test_IRMI_ordered.R........... 6 tests OK test_IRMI_ordered.R........... 7 tests OK test_IRMI_ordered.R........... 8 tests OK test_IRMI_ordered.R........... 9 tests OK test_IRMI_ordered.R........... 10 tests OK test_IRMI_ordered.R........... 11 tests OK test_IRMI_ordered.R........... 12 tests OK test_IRMI_ordered.R........... 13 tests OK 3.6s test_aggFunctions.R........... 0 tests kNN ordered test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 0 tests test_aggFunctions.R........... 1 tests OK test_aggFunctions.R........... 2 tests OK test_aggFunctions.R........... 3 tests OK test_aggFunctions.R........... 4 tests OK test_aggFunctions.R........... 5 tests OK test_aggFunctions.R........... 6 tests OK 9ms Attaching package: 'dplyr' The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union test_data_frame.R............. 0 tests test_data_frame.R............. 0 tests test_data_frame.R............. 0 tests test_data_frame.R............. 0 tests test_data_frame.R............. 1 tests OK test_data_frame.R............. 1 tests OK test_data_frame.R............. 1 tests OK test_data_frame.R............. 2 tests OK test_data_frame.R............. 2 tests OK test_data_frame.R............. 2 tests OK test_data_frame.R............. 3 tests OK 0.5s test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 0 tests test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 1 tests OK test_gowerDind.R.............. 2 tests OK 30ms test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests test_graphics.R............... 0 tests Missings in variables: Variable Count NonD 14 Dream 12 Sleep 4 Span 4 Gest 4 test_graphics.R............... 0 tests test_graphics.R............... 1 tests OK test_graphics.R............... 1 tests OK test_graphics.R............... 1 tests OK test_graphics.R............... 1 tests OK Imputed missings in variables: Variable Count NonD 14 Dream 12 Sleep 4 Span 4 Gest 4 test_graphics.R............... 1 tests OK test_graphics.R............... 2 tests OK test_graphics.R............... 2 tests OK test_graphics.R............... 2 tests OK test_graphics.R............... 3 tests OK test_graphics.R............... 3 tests OK test_graphics.R............... 3 tests OK test_graphics.R............... 3 tests OK test_graphics.R............... 4 tests OK test_graphics.R............... 4 tests OK test_graphics.R............... 5 tests OK test_graphics.R............... 5 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 6 tests OK test_graphics.R............... 7 tests OK test_graphics.R............... 7 tests OK test_graphics.R............... 7 tests OK test_graphics.R............... 7 tests OK test_graphics.R............... 8 tests OK test_graphics.R............... 8 tests OK test_graphics.R............... 9 tests OK test_graphics.R............... 9 tests OK test_graphics.R............... 10 tests OK test_graphics.R............... 10 tests OK test_graphics.R............... 10 tests OK test_graphics.R............... 11 tests OK test_graphics.R............... 11 tests OK test_graphics.R............... 11 tests OK test_graphics.R............... 12 tests OK test_graphics.R............... 12 tests OK test_graphics.R............... 12 tests OK test_graphics.R............... 13 tests OK test_graphics.R............... 13 tests OK test_graphics.R............... 13 tests OK test_graphics.R............... 14 tests OK test_graphics.R............... 14 tests OK test_graphics.R............... 15 tests OK test_graphics.R............... 15 tests OK test_graphics.R............... 16 tests OK test_graphics.R............... 17 tests OK test_graphics.R............... 17 tests OK test_graphics.R............... 18 tests OK test_graphics.R............... 19 tests OK test_graphics.R............... 20 tests OK test_graphics.R............... 21 tests OK test_graphics.R............... 22 tests OK test_graphics.R............... 22 tests OK test_graphics.R............... 22 tests OK test_graphics.R............... 23 tests OK test_graphics.R............... 23 tests OK test_graphics.R............... 23 tests OK test_graphics.R............... 24 tests OK test_graphics.R............... 24 tests OK test_graphics.R............... 24 tests OK test_graphics.R............... 25 tests OK test_graphics.R............... 25 tests OK test_graphics.R............... 25 tests OK test_graphics.R............... 26 tests OK test_graphics.R............... 27 tests OK test_graphics.R............... 28 tests OK test_graphics.R............... 29 tests OK test_graphics.R............... 30 tests OK test_graphics.R............... 30 tests OK test_graphics.R............... 31 tests OK test_graphics.R............... 31 tests OK test_graphics.R............... 32 tests OK 3.7s hotdeck test_hotdeck.R................ 0 tests Attaching package: 'data.table' The following objects are masked from 'package:dplyr': between, first, last The following object is masked from 'package:base': %notin% test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 0 tests test_hotdeck.R................ 1 tests OK test_hotdeck.R................ 1 tests OK test_hotdeck.R................ 1 tests OK test_hotdeck.R................ 2 tests OK test_hotdeck.R................ 2 tests OK test_hotdeck.R................ 3 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 4 tests OK test_hotdeck.R................ 5 tests OK test_hotdeck.R................ 5 tests OK test_hotdeck.R................ 6 tests OK test_hotdeck.R................ 6 tests OK test_hotdeck.R................ 7 tests OK test_hotdeck.R................ 7 tests OK test_hotdeck.R................ 8 tests OK test_hotdeck.R................ 8 tests OK test_hotdeck.R................ 9 tests OK test_hotdeck.R................ 10 tests OK test_hotdeck.R................ 10 tests OK test_hotdeck.R................ 10 tests OK test_hotdeck.R................ 11 tests OK test_hotdeck.R................ 12 tests OK test_hotdeck.R................ 13 tests OK test_hotdeck.R................ 14 tests OK test_hotdeck.R................ 15 tests OK test_hotdeck.R................ 15 tests OK test_hotdeck.R................ 15 tests OK test_hotdeck.R................ 16 tests OK test_hotdeck.R................ 17 tests OK test_hotdeck.R................ 18 tests OK test_hotdeck.R................ 19 tests OK 0.4s test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests test_impNA.R.................. 0 tests test_impNA.R.................. 1 tests OK test_impNA.R.................. 2 tests OK test_impNA.R.................. 2 tests OK test_impNA.R.................. 3 tests OK test_impNA.R.................. 4 tests OK 0.2s impPCA test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests test_impPCA.R................. 0 tests Iterations: 4 test_impPCA.R................. 0 tests test_impPCA.R................. 1 tests OK Iterations: 4 test_impPCA.R................. 1 tests OK test_impPCA.R................. 2 tests OK Iterations: 0 test_impPCA.R................. 2 tests OK test_impPCA.R................. 3 tests OK Iterations: 0 test_impPCA.R................. 3 tests OK test_impPCA.R................. 4 tests OK 54ms test_irmi_types.R............. 0 tests test_irmi_types.R............. 0 tests test_irmi_types.R............. 1 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 2 tests OK test_irmi_types.R............. 3 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 4 tests OK test_irmi_types.R............. 5 tests OK test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 6 tests OK test_irmi_types.R............. 7 tests OK test_irmi_types.R............. 8 tests OK 0.4s test_kNN.R.................... 0 tests kNN general test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 0 tests test_kNN.R.................... 1 tests OK test_kNN.R.................... 1 tests OK test_kNN.R.................... 1 tests OK Detected as categorical variable: x,x_imp,y_imp Detected as ordinal variable: Detected as numerical variable: y 0 items ofvariable:x imputed 6items ofvariable:y imputed Time difference of 0.01118898 secs test_kNN.R.................... 1 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 2 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 3 tests OK test_kNN.R.................... 4 tests OK test_kNN.R.................... 4 tests OK test_kNN.R.................... 4 tests OK test_kNN.R.................... 5 tests OK test_kNN.R.................... 5 tests OK test_kNN.R.................... 5 tests OK test_kNN.R.................... 6 tests OK test_kNN.R.................... 7 tests OK test_kNN.R.................... 7 tests OK test_kNN.R.................... 8 tests OK test_kNN.R.................... 9 tests OK test_kNN.R.................... 9 tests OK test_kNN.R.................... 9 tests OK test_kNN.R.................... 9 tests OK test_kNN.R.................... 10 tests OK test_kNN.R.................... 11 tests OK test_kNN.R.................... 11 tests OK test_kNN.R.................... 12 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 13 tests OK test_kNN.R.................... 14 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 15 tests OK test_kNN.R.................... 16 tests OK test_kNN.R.................... 17 tests OK test_kNN.R.................... 17 tests OK test_kNN.R.................... 17 tests OK test_kNN.R.................... 17 tests OK test_kNN.R.................... 18 tests OK test_kNN.R.................... 19 tests OK test_kNN.R.................... 19 tests OK test_kNN.R.................... 19 tests OK test_kNN.R.................... 19 tests OK test_kNN.R.................... 20 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 21 tests OK test_kNN.R.................... 22 tests OK test_kNN.R.................... 22 tests OK test_kNN.R.................... 22 tests OK Detected as categorical variable: x,x_imp,y_imp Detected as ordinal variable: Detected as numerical variable: y 0 items ofvariable:x imputed 6items ofvariable:y imputed Time difference of 0.01111388 secs test_kNN.R.................... 22 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 23 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 24 tests OK test_kNN.R.................... 25 tests OK test_kNN.R.................... 25 tests OK test_kNN.R.................... 25 tests OK test_kNN.R.................... 26 tests OK test_kNN.R.................... 26 tests OK test_kNN.R.................... 27 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 28 tests OK test_kNN.R.................... 29 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 30 tests OK test_kNN.R.................... 31 tests OK test_kNN.R.................... 32 tests OK test_kNN.R.................... 32 tests OK test_kNN.R.................... 32 tests OK test_kNN.R.................... 32 tests OK test_kNN.R.................... 33 tests OK test_kNN.R.................... 34 tests OK test_kNN.R.................... 34 tests OK test_kNN.R.................... 34 tests OK test_kNN.R.................... 34 tests OK test_kNN.R.................... 35 tests OK test_kNN.R.................... 36 tests OK test_kNN.R.................... 36 tests OK test_kNN.R.................... 37 tests OK test_kNN.R.................... 37 tests OK test_kNN.R.................... 37 tests OK test_kNN.R.................... 38 tests OK test_kNN.R.................... 38 tests OK test_kNN.R.................... 38 tests OK test_kNN.R.................... 39 tests OK weighted catFun without missings in the distance variables test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK weighted catFun with missings in the distance variables test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK test_kNN.R.................... 39 tests OK 1.1s test_kNN_exact.R.............. 0 tests kNN exact results test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 0 tests Detected as categorical variable: Class,Class_imp,X1_imp,X2_imp,ClassNum_imp,Row_imp,Row2_imp,ord_imp Detected as ordinal variable: ord Detected as numerical variable: X1,X2,ClassNum,Row,Row2 0 items ofvariable:Class imputed 0 items ofvariable:X1 imputed 2items ofvariable:X2 imputed 0 items ofvariable:ClassNum imputed 0 items ofvariable:Row imputed 0 items ofvariable:Row2 imputed 0 items ofvariable:ord imputed Time difference of 0.01565409 secs test_kNN_exact.R.............. 0 tests test_kNN_exact.R.............. 1 tests OK test_kNN_exact.R.............. 2 tests OK test_kNN_exact.R.............. 2 tests OK test_kNN_exact.R.............. 3 tests OK test_kNN_exact.R.............. 4 tests OK test_kNN_exact.R.............. 4 tests OK test_kNN_exact.R.............. 5 tests OK test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 6 tests OK test_kNN_exact.R.............. 7 tests OK test_kNN_exact.R.............. 8 tests OK test_kNN_exact.R.............. 8 tests OK test_kNN_exact.R.............. 9 tests OK test_kNN_exact.R.............. 10 tests OK test_kNN_exact.R.............. 10 tests OK test_kNN_exact.R.............. 11 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 12 tests OK test_kNN_exact.R.............. 13 tests OK test_kNN_exact.R.............. 14 tests OK test_kNN_exact.R.............. 14 tests OK test_kNN_exact.R.............. 15 tests OK test_kNN_exact.R.............. 16 tests OK test_kNN_exact.R.............. 16 tests OK test_kNN_exact.R.............. 17 tests OK test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 18 tests OK Detected as categorical variable: Class,Class_imp,X1_imp,X2_imp,ClassNum_imp,Row_imp,Row2_imp,ord_imp Detected as ordinal variable: ord Detected as numerical variable: X1,X2,ClassNum,Row,Row2 0 items ofvariable:Class imputed 0 items ofvariable:X1 imputed 2items ofvariable:X2 imputed 0 items ofvariable:ClassNum imputed 0 items ofvariable:Row imputed 0 items ofvariable:Row2 imputed 0 items ofvariable:ord imputed Time difference of 0.01711392 secs test_kNN_exact.R.............. 18 tests OK test_kNN_exact.R.............. 19 tests OK test_kNN_exact.R.............. 20 tests OK test_kNN_exact.R.............. 20 tests OK test_kNN_exact.R.............. 21 tests OK test_kNN_exact.R.............. 22 tests OK test_kNN_exact.R.............. 22 tests OK test_kNN_exact.R.............. 23 tests OK test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 24 tests OK test_kNN_exact.R.............. 25 tests OK test_kNN_exact.R.............. 26 tests OK test_kNN_exact.R.............. 26 tests OK test_kNN_exact.R.............. 27 tests OK test_kNN_exact.R.............. 28 tests OK test_kNN_exact.R.............. 28 tests OK test_kNN_exact.R.............. 29 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 30 tests OK test_kNN_exact.R.............. 31 tests OK test_kNN_exact.R.............. 32 tests OK test_kNN_exact.R.............. 32 tests OK test_kNN_exact.R.............. 33 tests OK test_kNN_exact.R.............. 34 tests OK test_kNN_exact.R.............. 34 tests OK test_kNN_exact.R.............. 35 tests OK test_kNN_exact.R.............. 36 tests OK 0.3s test_kNN_iqr.R................ 0 tests kNN iqr test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 0 tests test_kNN_iqr.R................ 1 tests OK 24ms test_kNN_ordered.R............ 0 tests kNN ordered test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 0 tests test_kNN_ordered.R............ 1 tests OK test_kNN_ordered.R............ 2 tests OK test_kNN_ordered.R............ 2 tests OK test_kNN_ordered.R............ 3 tests OK test_kNN_ordered.R............ 4 tests OK test_kNN_ordered.R............ 4 tests OK test_kNN_ordered.R............ 5 tests OK test_kNN_ordered.R............ 6 tests OK test_kNN_ordered.R............ 6 tests OK test_kNN_ordered.R............ 7 tests OK test_kNN_ordered.R............ 8 tests OK 55ms test_matchImpute.R............ 0 tests matchImpute general test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 0 tests test_matchImpute.R............ 1 tests OK test_matchImpute.R............ 1 tests OK test_matchImpute.R............ 2 tests OK test_matchImpute.R............ 3 tests OK test_matchImpute.R............ 4 tests OK test_matchImpute.R............ 5 tests OK test_matchImpute.R............ 5 tests OK test_matchImpute.R............ 6 tests OK 14ms test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 0 tests test_rangerImpute.R........... 1 tests OK No missings in x. test_rangerImpute.R........... 1 tests OK test_rangerImpute.R........... 2 tests OK test_rangerImpute.R........... 2 tests OK test_rangerImpute.R........... 2 tests OK test_rangerImpute.R........... 3 tests OK test_rangerImpute.R........... 3 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 4 tests OK test_rangerImpute.R........... 5 tests OK 84ms test_regressionImp.R.......... 0 tests test_regressionImp.R.......... 0 tests test_regressionImp.R.......... 1 tests OK test_regressionImp.R.......... 1 tests OK test_regressionImp.R.......... 2 tests OK test_regressionImp.R.......... 2 tests OK test_regressionImp.R.......... 3 tests OK test_regressionImp.R.......... 3 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 4 tests OK test_regressionImp.R.......... 5 tests OK 10ms test_vimpute.R................ 0 tests Variables with Missing Data: NonD,Dream,Sleep,Span,Gest data is data.table Precheck done. test_vimpute.R................ 0 tests 1.6s test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 0 tests test_xgboostImpute.R.......... 1 tests OK No missings in x. test_xgboostImpute.R.......... 1 tests OK test_xgboostImpute.R.......... 2 tests OK test_xgboostImpute.R.......... 2 tests OK test_xgboostImpute.R.......... 2 tests OK test_xgboostImpute.R.......... 3 tests OK test_xgboostImpute.R.......... 3 tests OK test_xgboostImpute.R.......... 3 tests OK test_xgboostImpute.R.......... 4 tests OK test_xgboostImpute.R.......... 5 tests OK test_xgboostImpute.R.......... 6 tests OK test_xgboostImpute.R.......... 7 tests OK test_xgboostImpute.R.......... 8 tests OK test_xgboostImpute.R.......... 8 tests OK test_xgboostImpute.R.......... 8 tests OK test_xgboostImpute.R.......... 8 tests OK test_xgboostImpute.R.......... 9 tests OK Training model for x on 90 observations [1] train-rmse:0.753044 [2] train-rmse:0.652368 [3] train-rmse:0.595780 [4] train-rmse:0.565418 [5] train-rmse:0.549634 [6] train-rmse:0.541583 [7] train-rmse:0.537519 [8] train-rmse:0.535478 [9] train-rmse:0.534457 [10] train-rmse:0.533947 [11] train-rmse:0.533691 [12] train-rmse:0.533564 [13] train-rmse:0.533501 [14] train-rmse:0.533469 [15] train-rmse:0.533453 [16] train-rmse:0.533445 [17] train-rmse:0.533441 [18] train-rmse:0.533439 [19] train-rmse:0.533438 [20] train-rmse:0.533438 [21] train-rmse:0.533437 [22] train-rmse:0.533437 [23] train-rmse:0.533437 [24] train-rmse:0.533437 [25] train-rmse:0.533437 [26] train-rmse:0.533437 [27] train-rmse:0.533437 [28] train-rmse:0.533437 [29] train-rmse:0.533437 [30] train-rmse:0.533437 [31] train-rmse:0.533437 [32] train-rmse:0.533437 [33] train-rmse:0.533437 [34] train-rmse:0.533437 [35] train-rmse:0.533437 [36] train-rmse:0.533437 [37] train-rmse:0.533437 [38] train-rmse:0.533437 [39] train-rmse:0.533437 [40] train-rmse:0.533437 [41] train-rmse:0.533437 [42] train-rmse:0.533437 [43] train-rmse:0.533437 [44] train-rmse:0.533437 [45] train-rmse:0.533437 [46] train-rmse:0.533437 [47] train-rmse:0.533437 [48] train-rmse:0.533437 [49] train-rmse:0.533437 [50] train-rmse:0.533437 [51] train-rmse:0.533437 [52] train-rmse:0.533437 [53] train-rmse:0.533437 [54] train-rmse:0.533437 [55] train-rmse:0.533437 [56] train-rmse:0.533437 [57] train-rmse:0.533437 [58] train-rmse:0.533437 [59] train-rmse:0.533437 [60] train-rmse:0.533437 [61] train-rmse:0.533437 [62] train-rmse:0.533437 [63] train-rmse:0.533437 [64] train-rmse:0.533437 [65] train-rmse:0.533437 [66] train-rmse:0.533437 [67] train-rmse:0.533437 [68] train-rmse:0.533437 [69] train-rmse:0.533437 [70] train-rmse:0.533437 [71] train-rmse:0.533437 [72] train-rmse:0.533437 [73] train-rmse:0.533437 [74] train-rmse:0.533437 [75] train-rmse:0.533437 [76] train-rmse:0.533437 [77] train-rmse:0.533437 [78] train-rmse:0.533437 [79] train-rmse:0.533437 [80] train-rmse:0.533437 [81] train-rmse:0.533437 [82] train-rmse:0.533437 [83] train-rmse:0.533437 [84] train-rmse:0.533437 [85] train-rmse:0.533437 [86] train-rmse:0.533437 [87] train-rmse:0.533437 [88] train-rmse:0.533437 [89] train-rmse:0.533437 [90] train-rmse:0.533437 [91] train-rmse:0.533437 [92] train-rmse:0.533437 [93] train-rmse:0.533437 [94] train-rmse:0.533437 [95] train-rmse:0.533437 [96] train-rmse:0.533437 [97] train-rmse:0.533437 [98] train-rmse:0.533437 [99] train-rmse:0.533437 [100] train-rmse:0.533437 Evaluating model for x on 7 observations test_xgboostImpute.R.......... 9 tests OK test_xgboostImpute.R.......... 10 tests OK 0.4s All ok, 201 results (12.5s) There were 19 warnings (use warnings() to see them) > > proc.time() user system elapsed 13.28 0.98 14.14