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Type 'q()' to quit R. > library(testthat) > library(maxent.ot) > > test_check("maxent.ot") Training paramers mu:0, sigma:1, fold number:1 Training paramers mu:0, sigma:1, fold number:2 Training paramers mu:0, sigma:1, fold number:3 Training paramers mu:0, sigma:1, fold number:4 Training paramers mu:0, sigma:1, fold number:5 Training paramers mu:0, sigma:1, fold number:6 Training paramers mu:0, sigma:1, fold number:7 Training paramers mu:0, sigma:1, fold number:8 Training paramers mu:0, sigma:1, fold number:9 Training paramers mu:0, sigma:1, fold number:10 Training paramers mu:0, sigma:0.01, fold number:1 Training paramers mu:0, sigma:0.01, fold number:2 Training paramers mu:0, sigma:0.01, fold number:3 Training paramers mu:0, sigma:0.01, fold number:4 Training paramers mu:0, sigma:0.01, fold number:5 Training paramers mu:0, sigma:0.01, fold number:6 Training paramers mu:0, sigma:0.01, fold number:7 Training paramers mu:0, sigma:0.01, fold number:8 Training paramers mu:0, sigma:0.01, fold number:9 Training paramers mu:0, sigma:0.01, fold number:10 Training paramers mu:1, sigma:0.1, fold number:1 Training paramers mu:1, sigma:0.1, fold number:2 Training paramers mu:1, sigma:0.1, fold number:3 Training paramers mu:1, sigma:0.1, fold number:4 Training paramers mu:1, sigma:0.1, fold number:5 Training paramers mu:1, sigma:0.1, fold number:6 Training paramers mu:1, sigma:0.1, fold number:7 Training paramers mu:1, sigma:0.1, fold number:8 Training paramers mu:1, sigma:0.1, fold number:9 Training paramers mu:1, sigma:0.1, fold number:10 Training paramers mu:2, sigma:1, fold number:1 Training paramers mu:2, sigma:1, fold number:2 Training paramers mu:2, sigma:1, fold number:3 Training paramers mu:2, sigma:1, fold number:4 Training paramers mu:2, sigma:1, fold number:5 Training paramers mu:2, sigma:1, fold number:6 Training paramers mu:2, sigma:1, fold number:7 Training paramers mu:2, sigma:1, fold number:8 Training paramers mu:2, sigma:1, fold number:9 Training paramers mu:2, sigma:1, fold number:10 Training paramers mu:0, sigma:0.01, fold number:1 Training paramers mu:0, sigma:0.01, fold number:2 Training paramers mu:0, sigma:0.01, fold number:3 Training paramers mu:0, sigma:0.01, fold number:4 Training paramers mu:0, sigma:0.01, fold number:5 Training paramers mu:0, sigma:0.01, fold number:6 Training paramers mu:0, sigma:0.01, fold number:7 Training paramers mu:0, sigma:0.01, fold number:8 Training paramers mu:0, sigma:0.01, fold number:9 Training paramers mu:0, sigma:0.01, fold number:10 Training paramers mu:0, sigma:0.1, fold number:1 Training paramers mu:0, sigma:0.1, fold number:2 Training paramers mu:0, sigma:0.1, fold number:3 Training paramers mu:0, sigma:0.1, fold number:4 Training paramers mu:0, sigma:0.1, fold number:5 Training paramers mu:0, sigma:0.1, fold number:6 Training paramers mu:0, sigma:0.1, fold number:7 Training paramers mu:0, sigma:0.1, fold number:8 Training paramers mu:0, sigma:0.1, fold number:9 Training paramers mu:0, sigma:0.1, fold number:10 Training paramers mu:0, sigma:1, fold number:1 Training paramers mu:0, sigma:1, fold number:2 Training paramers mu:0, sigma:1, fold number:3 Training paramers mu:0, sigma:1, fold number:4 Training paramers mu:0, sigma:1, fold number:5 Training paramers mu:0, sigma:1, fold number:6 Training paramers mu:0, sigma:1, fold number:7 Training paramers mu:0, sigma:1, fold number:8 Training paramers mu:0, sigma:1, fold number:9 Training paramers mu:0, sigma:1, fold number:10 Training paramers mu:1, sigma:0.01, fold number:1 Training paramers mu:1, sigma:0.01, fold number:2 Training paramers mu:1, sigma:0.01, fold number:3 Training paramers mu:1, sigma:0.01, fold number:4 Training paramers mu:1, sigma:0.01, fold number:5 Training paramers mu:1, sigma:0.01, fold number:6 Training paramers mu:1, sigma:0.01, fold number:7 Training paramers mu:1, sigma:0.01, fold number:8 Training paramers mu:1, sigma:0.01, fold number:9 Training paramers mu:1, sigma:0.01, fold number:10 Training paramers mu:1, sigma:0.1, fold number:1 Training paramers mu:1, sigma:0.1, fold number:2 Training paramers mu:1, sigma:0.1, fold number:3 Training paramers mu:1, sigma:0.1, fold number:4 Training paramers mu:1, sigma:0.1, fold number:5 Training paramers mu:1, sigma:0.1, fold number:6 Training paramers mu:1, sigma:0.1, fold number:7 Training paramers mu:1, sigma:0.1, fold number:8 Training paramers mu:1, sigma:0.1, fold number:9 Training paramers mu:1, sigma:0.1, fold number:10 Training paramers mu:1, sigma:1, fold number:1 Training paramers mu:1, sigma:1, fold number:2 Training paramers mu:1, sigma:1, fold number:3 Training paramers mu:1, sigma:1, fold number:4 Training paramers mu:1, sigma:1, fold number:5 Training paramers mu:1, sigma:1, fold number:6 Training paramers mu:1, sigma:1, fold number:7 Training paramers mu:1, sigma:1, fold number:8 Training paramers mu:1, sigma:1, fold number:9 Training paramers mu:1, sigma:1, fold number:10 Training paramers mu:2, sigma:0.01, fold number:1 Training paramers mu:2, sigma:0.01, fold number:2 Training paramers mu:2, sigma:0.01, fold number:3 Training paramers mu:2, sigma:0.01, fold number:4 Training paramers mu:2, sigma:0.01, fold number:5 Training paramers mu:2, sigma:0.01, fold number:6 Training paramers mu:2, sigma:0.01, fold number:7 Training paramers mu:2, sigma:0.01, fold number:8 Training paramers mu:2, sigma:0.01, fold number:9 Training paramers mu:2, sigma:0.01, fold number:10 Training paramers mu:2, sigma:0.1, fold number:1 Training paramers mu:2, sigma:0.1, fold number:2 Training paramers mu:2, sigma:0.1, fold number:3 Training paramers mu:2, sigma:0.1, fold number:4 Training paramers mu:2, sigma:0.1, fold number:5 Training paramers mu:2, sigma:0.1, fold number:6 Training paramers mu:2, sigma:0.1, fold number:7 Training paramers mu:2, sigma:0.1, fold number:8 Training paramers mu:2, sigma:0.1, fold number:9 Training paramers mu:2, sigma:0.1, fold number:10 Training paramers mu:2, sigma:1, fold number:1 Training paramers mu:2, sigma:1, fold number:2 Training paramers mu:2, sigma:1, fold number:3 Training paramers mu:2, sigma:1, fold number:4 Training paramers mu:2, sigma:1, fold number:5 Training paramers mu:2, sigma:1, fold number:6 Training paramers mu:2, sigma:1, fold number:7 Training paramers mu:2, sigma:1, fold number:8 Training paramers mu:2, sigma:1, fold number:9 Training paramers mu:2, sigma:1, fold number:10 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:1 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:2 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:3 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:4 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:5 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:6 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:7 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:8 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:9 Training paramers mu:0, 1, 2, 3, sigma:0.01, 0.1, 1, 2, fold number:10 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:1 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:2 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:3 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:4 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:5 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:6 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:7 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:8 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:9 Training paramers mu:3, 4, 5, 6, sigma:2, 1, 0.1, 0.01, fold number:10 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 10 ] > > proc.time() user system elapsed 4.37 0.20 4.56