R Under development (unstable) (2024-01-07 r85787 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 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. > library(testthat) > > test_check("list") Loading required package: list Loading required package: sandwich Test for List Experiment Design Effects Estimated population proportions est. s.e. pi(Y_i(0) = 0, Z_i = 1) -0.0019 0.0070 pi(Y_i(0) = 1, Z_i = 1) 0.0882 0.0229 pi(Y_i(0) = 2, Z_i = 1) 0.1696 0.0287 pi(Y_i(0) = 3, Z_i = 1) 0.2388 0.0177 pi(Y_i(0) = 0, Z_i = 0) 0.0155 0.0051 pi(Y_i(0) = 1, Z_i = 0) 0.1359 0.0155 pi(Y_i(0) = 2, Z_i = 0) 0.2073 0.0271 pi(Y_i(0) = 3, Z_i = 0) 0.1466 0.0267 Y_i(0) is the (latent) count of 'yes' responses to the control items. Z_i is the (latent) binary response to the sensitive item. Bonferroni-corrected p-value If this value is below alpha, you reject the null hypothesis of no design effect. If it is above alpha, you fail to reject the null. Sensitive Item TRUE 0.7881128 Test for List Experiment Design Effects Estimated population proportions est. s.e. pi(Y_i(0) = 0, Z_i = 1) -0.0169 0.0084 pi(Y_i(0) = 1, Z_i = 1) 0.0101 0.0243 pi(Y_i(0) = 2, Z_i = 1) 0.0200 0.0281 pi(Y_i(0) = 3, Z_i = 1) 0.0545 0.0091 pi(Y_i(0) = 0, Z_i = 0) 0.0304 0.0069 pi(Y_i(0) = 1, Z_i = 0) 0.2140 0.0174 pi(Y_i(0) = 2, Z_i = 0) 0.3569 0.0263 pi(Y_i(0) = 3, Z_i = 0) 0.3309 0.0220 Y_i(0) is the (latent) count of 'yes' responses to the control items. Z_i is the (latent) binary response to the sensitive item. Bonferroni-corrected p-value If this value is below alpha, you reject the null hypothesis of no design effect. If it is above alpha, you fail to reject the null. Sensitive Item 1 0.04431109 [ FAIL 0 | WARN 0 | SKIP 15 | PASS 24 ] ══ Skipped tests (15) ══════════════════════════════════════════════════════════ • On CRAN (14): 'test-ictreg.R:108:3', 'test-ictreg.R:147:3', 'test-ictreg.R:190:3', 'test-ictreg.R:219:3', 'test-ictreg.R:240:3', 'test-ictreg.R:263:3', 'test-ictreg.R:286:3', 'test-ictreg.R:311:3', 'test-ictreg.R:387:3', 'test-ictreg.joint.R:8:3', 'test-ictregBayes.R:11:3', 'test-ictregBayes.R:205:3', 'test-ictregBayesHier.R:11:3', 'test-ictregBayesHier.R:98:3' • empty test (1): 'test-ict.test.R:8:1' [ FAIL 0 | WARN 0 | SKIP 15 | PASS 24 ] > > proc.time() user system elapsed 3.39 0.35 3.73