CRAN Package Check Results for Package VIM

Last updated on 2020-05-28 01:53:32 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 6.0.0 38.49 233.32 271.81 OK
r-devel-linux-x86_64-debian-gcc 6.0.0 31.02 225.22 256.24 OK
r-devel-linux-x86_64-fedora-clang 6.0.0 306.41 NOTE
r-devel-linux-x86_64-fedora-gcc 6.0.0 277.72 NOTE
r-devel-windows-ix86+x86_64 6.0.0 91.00 349.00 440.00 OK
r-patched-linux-x86_64 6.0.0 34.49 216.28 250.77 OK
r-patched-solaris-x86 6.0.0 360.20 NOTE
r-release-linux-x86_64 6.0.0 35.84 229.38 265.22 OK
r-release-osx-x86_64 6.0.0 NOTE
r-release-windows-ix86+x86_64 6.0.0 63.00 341.00 404.00 OK
r-oldrel-osx-x86_64 6.0.0 ERROR
r-oldrel-windows-ix86+x86_64 6.0.0 65.00 263.00 328.00 ERROR

Check Details

Version: 6.0.0
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘magrittr’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 6.0.0
Check: data for non-ASCII characters
Result: NOTE
     Note: found 2754 marked UTF-8 strings
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 6.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [47s/18s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     Time difference of 0.01498103 secs
     Time difference of 0.02095509 secs
     Time difference of 0.0210638 secs
     No missings in x.
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 135 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
     1. Failure: irmi base (@test_IRMI_ordered.R#10)
     2. Failure: irmi step (@test_IRMI_ordered.R#15)
     3. Failure: irmi step noise (@test_IRMI_ordered.R#20)
     4. Failure: irmi robust (@test_IRMI_ordered.R#25)
     5. Failure: irmi robust noise (@test_IRMI_ordered.R#34)
     6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-osx-x86_64

Version: 6.0.0
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [20s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(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_check("VIM")
     -- 1. Failure: irmi base (@test_IRMI_ordered.R#10) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
    
     Start: AIC=1389.45
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1369.5 1387.5
     - v1 1 1369.5 1387.5
     - co 1 1369.7 1387.7
     - b 1 1371.3 1389.3
     <none> 1369.5 1389.5
     - m 1 1371.9 1389.9
     - c 4 1380.5 1392.5
    
     Step: AIC=1387.48
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1369.5 1385.5
     - co 1 1369.7 1385.7
     - b 1 1371.4 1387.4
     <none> 1369.5 1387.5
     - m 1 1372.0 1388.0
     - c 4 1380.6 1390.6
    
     Step: AIC=1385.54
     y ~ m + b + c + co
    
     Df Deviance AIC
     - co 1 1369.8 1383.8
     - b 1 1371.5 1385.5
     <none> 1369.5 1385.5
     - m 1 1372.0 1386.0
     - c 4 1380.6 1388.6
    
     Step: AIC=1383.79
     y ~ m + b + c
    
     Df Deviance AIC
     - b 1 1371.7 1383.7
     <none> 1369.8 1383.8
     - m 1 1372.3 1384.3
     - c 4 1380.7 1386.7
    
     Step: AIC=1383.73
     y ~ m + c
    
     Df Deviance AIC
     <none> 1371.7 1383.7
     - m 1 1374.3 1384.3
     - c 4 1382.5 1386.5
     Start: AIC=1295.27
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1275.3 1293.3
     - co 1 1275.3 1293.3
     - b 1 1276.5 1294.5
     - v2 1 1277.2 1295.2
     <none> 1275.3 1295.3
     - m 1 1310.6 1328.6
     - c 4 1348.7 1360.7
    
     Step: AIC=1293.28
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1275.3 1291.3
     - b 1 1276.5 1292.5
     - v2 1 1277.2 1293.2
     <none> 1275.3 1293.3
     - m 1 1310.6 1326.6
     - c 4 1348.7 1358.7
    
     Step: AIC=1291.32
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - b 1 1276.5 1290.5
     - v2 1 1277.2 1291.2
     <none> 1275.3 1291.3
     - m 1 1310.8 1324.8
     - c 4 1348.8 1356.8
    
     Step: AIC=1290.53
     y ~ v2 + m + c
    
     Df Deviance AIC
     - v2 1 1278.5 1290.5
     <none> 1276.5 1290.5
     - m 1 1312.0 1324.0
     - c 4 1349.5 1355.5
    
     Step: AIC=1290.5
     y ~ m + c
    
     Df Deviance AIC
     <none> 1278.5 1290.5
     - m 1 1314.1 1324.1
     - c 4 1350.8 1354.8
     Start: AIC=1285.61
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1265.7 1283.7
     - v1 1 1265.7 1283.7
     - v2 1 1266.2 1284.2
     - b 1 1267.1 1285.1
     <none> 1265.6 1285.6
     - m 1 1287.1 1305.1
     - c 4 1363.9 1375.9
    
     Step: AIC=1283.66
     y ~ v1 + v2 + m + b + c
    
     Df Deviance AIC
     - v1 1 1265.8 1281.8
     - v2 1 1266.2 1282.2
     - b 1 1267.2 1283.2
     <none> 1265.7 1283.7
     - m 1 1287.2 1303.2
     - c 4 1364.0 1374.0
    
     Step: AIC=1281.75
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - v2 1 1266.3 1280.3
     - b 1 1267.3 1281.3
     <none> 1265.8 1281.8
     - m 1 1287.3 1301.3
     - c 4 1364.0 1372.0
    
     Step: AIC=1280.33
     y ~ m + b + c
    
     Df Deviance AIC
     - b 1 1267.9 1279.9
     <none> 1266.3 1280.3
     - m 1 1287.9 1299.9
     - c 4 1364.2 1370.2
    
     Step: AIC=1279.9
     y ~ m + c
    
     Df Deviance AIC
     <none> 1267.9 1279.9
     - m 1 1289.5 1299.5
     - c 4 1365.2 1369.2
     Start: AIC=1271.99
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1252.0 1270.0
     - v1 1 1252.1 1270.1
     - v2 1 1252.3 1270.3
     <none> 1252.0 1272.0
     - b 1 1254.1 1272.1
     - m 1 1259.3 1277.3
     - c 4 1376.5 1388.5
    
     Step: AIC=1270.01
     y ~ v1 + v2 + m + b + c
    
     Df Deviance AIC
     - v1 1 1252.1 1268.1
     - v2 1 1252.4 1268.4
     <none> 1252.0 1270.0
     - b 1 1254.1 1270.1
     - m 1 1259.4 1275.4
     - c 4 1376.7 1386.7
    
     Step: AIC=1268.14
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - v2 1 1252.5 1266.5
     <none> 1252.1 1268.1
     - b 1 1254.3 1268.3
     - m 1 1259.5 1273.5
     - c 4 1376.7 1384.7
    
     Step: AIC=1266.49
     y ~ m + b + c
    
     Df Deviance AIC
     <none> 1252.5 1266.5
     - b 1 1254.7 1266.7
     - m 1 1259.9 1271.9
     - c 4 1376.8 1382.8
     Start: AIC=1259.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1239.6 1257.6
     - co 1 1239.6 1257.6
     - v2 1 1240.0 1258.0
     - m 1 1240.1 1258.1
     - b 1 1241.1 1259.1
     <none> 1239.6 1259.6
     - c 4 1381.5 1393.5
    
     Step: AIC=1257.56
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1239.6 1255.6
     - v2 1 1240.0 1256.0
     - m 1 1240.1 1256.1
     - b 1 1241.1 1257.1
     <none> 1239.6 1257.6
     - c 4 1381.5 1391.5
    
     Step: AIC=1255.6
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - v2 1 1240.1 1254.1
     - m 1 1240.1 1254.1
     - b 1 1241.2 1255.2
     <none> 1239.6 1255.6
     - c 4 1381.6 1389.6
    
     Step: AIC=1254.07
     y ~ m + b + c
    
     Df Deviance AIC
     - m 1 1240.6 1252.6
     - b 1 1241.7 1253.7
     <none> 1240.1 1254.1
     - c 4 1381.6 1387.6
    
     Step: AIC=1252.61
     y ~ b + c
    
     Df Deviance AIC
     - b 1 1242.2 1252.2
     <none> 1240.6 1252.6
     - c 4 1382.3 1386.3
    
     Step: AIC=1252.22
     y ~ c
    
     Df Deviance AIC
     <none> 1242.2 1252.2
     - c 4 1383.2 1385.2
     Start: AIC=1258.57
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1238.6 1256.6
     - co 1 1238.6 1256.6
     - m 1 1238.9 1256.9
     - v2 1 1238.9 1256.9
     - b 1 1240.0 1258.0
     <none> 1238.6 1258.6
     - c 4 1381.6 1393.6
    
     Step: AIC=1256.59
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1238.6 1254.6
     - m 1 1238.9 1254.9
     - v2 1 1238.9 1254.9
     - b 1 1240.0 1256.0
     <none> 1238.6 1256.6
     - c 4 1381.6 1391.6
    
     Step: AIC=1254.62
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - m 1 1238.9 1252.9
     - v2 1 1238.9 1252.9
     - b 1 1240.0 1254.0
     <none> 1238.6 1254.6
     - c 4 1381.8 1389.8
    
     Step: AIC=1252.91
     y ~ v2 + b + c
    
     Df Deviance AIC
     - v2 1 1239.2 1251.2
     - b 1 1240.3 1252.3
     <none> 1238.9 1252.9
     - c 4 1382.2 1388.2
    
     Step: AIC=1251.24
     y ~ b + c
    
     Df Deviance AIC
     - b 1 1240.7 1250.7
     <none> 1239.2 1251.2
     - c 4 1382.2 1386.2
    
     Step: AIC=1250.68
     y ~ c
    
     Df Deviance AIC
     <none> 1240.7 1250.7
     - c 4 1382.9 1384.9
     -- 2. Failure: irmi step (@test_IRMI_ordered.R#15) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
    
     Start: AIC=1389.45
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1369.5 1387.5
     - v1 1 1369.5 1387.5
     - co 1 1369.7 1387.7
     - b 1 1371.3 1389.3
     <none> 1369.5 1389.5
     - m 1 1371.9 1389.9
     - c 4 1380.5 1392.5
    
     Step: AIC=1387.48
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1369.5 1385.5
     - co 1 1369.7 1385.7
     - b 1 1371.4 1387.4
     <none> 1369.5 1387.5
     - m 1 1372.0 1388.0
     - c 4 1380.6 1390.6
    
     Step: AIC=1385.54
     y ~ m + b + c + co
    
     Df Deviance AIC
     - co 1 1369.8 1383.8
     - b 1 1371.5 1385.5
     <none> 1369.5 1385.5
     - m 1 1372.0 1386.0
     - c 4 1380.6 1388.6
    
     Step: AIC=1383.79
     y ~ m + b + c
    
     Df Deviance AIC
     - b 1 1371.7 1383.7
     <none> 1369.8 1383.8
     - m 1 1372.3 1384.3
     - c 4 1380.7 1386.7
    
     Step: AIC=1383.73
     y ~ m + c
    
     Df Deviance AIC
     <none> 1371.7 1383.7
     - m 1 1374.3 1384.3
     - c 4 1382.5 1386.5
     Start: AIC=1295.27
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1275.3 1293.3
     - co 1 1275.3 1293.3
     - b 1 1276.5 1294.5
     - v2 1 1277.2 1295.2
     <none> 1275.3 1295.3
     - m 1 1310.6 1328.6
     - c 4 1348.7 1360.7
    
     Step: AIC=1293.28
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1275.3 1291.3
     - b 1 1276.5 1292.5
     - v2 1 1277.2 1293.2
     <none> 1275.3 1293.3
     - m 1 1310.6 1326.6
     - c 4 1348.7 1358.7
    
     Step: AIC=1291.32
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - b 1 1276.5 1290.5
     - v2 1 1277.2 1291.2
     <none> 1275.3 1291.3
     - m 1 1310.8 1324.8
     - c 4 1348.8 1356.8
    
     Step: AIC=1290.53
     y ~ v2 + m + c
    
     Df Deviance AIC
     - v2 1 1278.5 1290.5
     <none> 1276.5 1290.5
     - m 1 1312.0 1324.0
     - c 4 1349.5 1355.5
    
     Step: AIC=1290.5
     y ~ m + c
    
     Df Deviance AIC
     <none> 1278.5 1290.5
     - m 1 1314.1 1324.1
     - c 4 1350.8 1354.8
     Start: AIC=1285.61
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1265.7 1283.7
     - v1 1 1265.7 1283.7
     - v2 1 1266.2 1284.2
     - b 1 1267.1 1285.1
     <none> 1265.6 1285.6
     - m 1 1287.1 1305.1
     - c 4 1363.9 1375.9
    
     Step: AIC=1283.66
     y ~ v1 + v2 + m + b + c
    
     Df Deviance AIC
     - v1 1 1265.8 1281.8
     - v2 1 1266.2 1282.2
     - b 1 1267.2 1283.2
     <none> 1265.7 1283.7
     - m 1 1287.2 1303.2
     - c 4 1364.0 1374.0
    
     Step: AIC=1281.75
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - v2 1 1266.3 1280.3
     - b 1 1267.3 1281.3
     <none> 1265.8 1281.8
     - m 1 1287.3 1301.3
     - c 4 1364.0 1372.0
    
     Step: AIC=1280.33
     y ~ m + b + c
    
     Df Deviance AIC
     - b 1 1267.9 1279.9
     <none> 1266.3 1280.3
     - m 1 1287.9 1299.9
     - c 4 1364.2 1370.2
    
     Step: AIC=1279.9
     y ~ m + c
    
     Df Deviance AIC
     <none> 1267.9 1279.9
     - m 1 1289.5 1299.5
     - c 4 1365.2 1369.2
     Start: AIC=1271.99
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1252.0 1270.0
     - v1 1 1252.1 1270.1
     - v2 1 1252.3 1270.3
     <none> 1252.0 1272.0
     - b 1 1254.1 1272.1
     - m 1 1259.3 1277.3
     - c 4 1376.5 1388.5
    
     Step: AIC=1270.01
     y ~ v1 + v2 + m + b + c
    
     Df Deviance AIC
     - v1 1 1252.1 1268.1
     - v2 1 1252.4 1268.4
     <none> 1252.0 1270.0
     - b 1 1254.1 1270.1
     - m 1 1259.4 1275.4
     - c 4 1376.7 1386.7
    
     Step: AIC=1268.14
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - v2 1 1252.5 1266.5
     <none> 1252.1 1268.1
     - b 1 1254.3 1268.3
     - m 1 1259.5 1273.5
     - c 4 1376.7 1384.7
    
     Step: AIC=1266.49
     y ~ m + b + c
    
     Df Deviance AIC
     <none> 1252.5 1266.5
     - b 1 1254.7 1266.7
     - m 1 1259.9 1271.9
     - c 4 1376.8 1382.8
     Start: AIC=1259.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1239.6 1257.6
     - co 1 1239.6 1257.6
     - v2 1 1240.0 1258.0
     - m 1 1240.1 1258.1
     - b 1 1241.1 1259.1
     <none> 1239.6 1259.6
     - c 4 1381.5 1393.5
    
     Step: AIC=1257.56
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1239.6 1255.6
     - v2 1 1240.0 1256.0
     - m 1 1240.1 1256.1
     - b 1 1241.1 1257.1
     <none> 1239.6 1257.6
     - c 4 1381.5 1391.5
    
     Step: AIC=1255.6
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - v2 1 1240.1 1254.1
     - m 1 1240.1 1254.1
     - b 1 1241.2 1255.2
     <none> 1239.6 1255.6
     - c 4 1381.6 1389.6
    
     Step: AIC=1254.07
     y ~ m + b + c
    
     Df Deviance AIC
     - m 1 1240.6 1252.6
     - b 1 1241.7 1253.7
     <none> 1240.1 1254.1
     - c 4 1381.6 1387.6
    
     Step: AIC=1252.61
     y ~ b + c
    
     Df Deviance AIC
     - b 1 1242.2 1252.2
     <none> 1240.6 1252.6
     - c 4 1382.3 1386.3
    
     Step: AIC=1252.22
     y ~ c
    
     Df Deviance AIC
     <none> 1242.2 1252.2
     - c 4 1383.2 1385.2
     Start: AIC=1258.57
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1238.6 1256.6
     - co 1 1238.6 1256.6
     - m 1 1238.9 1256.9
     - v2 1 1238.9 1256.9
     - b 1 1240.0 1258.0
     <none> 1238.6 1258.6
     - c 4 1381.6 1393.6
    
     Step: AIC=1256.59
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1238.6 1254.6
     - m 1 1238.9 1254.9
     - v2 1 1238.9 1254.9
     - b 1 1240.0 1256.0
     <none> 1238.6 1256.6
     - c 4 1381.6 1391.6
    
     Step: AIC=1254.62
     y ~ v2 + m + b + c
    
     Df Deviance AIC
     - m 1 1238.9 1252.9
     - v2 1 1238.9 1252.9
     - b 1 1240.0 1254.0
     <none> 1238.6 1254.6
     - c 4 1381.8 1389.8
    
     Step: AIC=1252.91
     y ~ v2 + b + c
    
     Df Deviance AIC
     - v2 1 1239.2 1251.2
     - b 1 1240.3 1252.3
     <none> 1238.9 1252.9
     - c 4 1382.2 1388.2
    
     Step: AIC=1251.24
     y ~ b + c
    
     Df Deviance AIC
     - b 1 1240.7 1250.7
     <none> 1239.2 1251.2
     - c 4 1382.2 1386.2
    
     Step: AIC=1250.68
     y ~ c
    
     Df Deviance AIC
     <none> 1240.7 1250.7
     - c 4 1382.9 1384.9
     -- 3. Failure: irmi step noise (@test_IRMI_ordered.R#20) ----------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
    
     -- 4. Failure: irmi robust (@test_IRMI_ordered.R#25) --------------------------
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
    
     -- 5. Failure: irmi robust noise (@test_IRMI_ordered.R#34) --------------------
     `... <- NULL` did not produce any warnings.
    
     -- 6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39) ----
     `... <- NULL` did not produce any warnings.
    
    
     Missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
    
     Imputed missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
     Time difference of 0.0156002 secs
     Time difference of 0.01559997 secs
     Time difference of 0.01559997 secs
     Time difference of 0.03119802 secs
     No missings in x.
     == testthat results ===========================================================
     [ OK: 135 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
     1. Failure: irmi base (@test_IRMI_ordered.R#10)
     2. Failure: irmi step (@test_IRMI_ordered.R#15)
     3. Failure: irmi step noise (@test_IRMI_ordered.R#20)
     4. Failure: irmi robust (@test_IRMI_ordered.R#25)
     5. Failure: irmi robust noise (@test_IRMI_ordered.R#34)
     6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 6.0.0
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [22s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(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_check("VIM")
     -- 1. Failure: irmi base (@test_IRMI_ordered.R#10) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
    
     Start: AIC=1387.85
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1367.9 1385.9
     - v1 1 1367.9 1385.9
     - m 1 1368.2 1386.2
     - v2 1 1369.1 1387.1
     - co 1 1369.4 1387.4
     <none> 1367.8 1387.8
     - c 4 1382.4 1394.4
    
     Step: AIC=1385.9
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v1 1 1368.0 1384.0
     - m 1 1368.2 1384.2
     - v2 1 1369.1 1385.1
     - co 1 1369.4 1385.4
     <none> 1367.9 1385.9
     - c 4 1382.5 1392.5
    
     Step: AIC=1383.98
     y ~ v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1368.3 1382.3
     - v2 1 1369.2 1383.2
     - co 1 1369.5 1383.5
     <none> 1368.0 1384.0
     - c 4 1382.5 1390.5
    
     Step: AIC=1382.27
     y ~ v2 + c + co
    
     Df Deviance AIC
     - v2 1 1369.5 1381.5
     - co 1 1369.8 1381.8
     <none> 1368.3 1382.3
     - c 4 1382.8 1388.8
    
     Step: AIC=1381.53
     y ~ c + co
    
     Df Deviance AIC
     - co 1 1371.0 1381.0
     <none> 1369.5 1381.5
     - c 4 1384.2 1388.2
    
     Step: AIC=1381
     y ~ c
    
     Df Deviance AIC
     <none> 1371.0 1381.0
     - c 4 1386.2 1388.2
     Start: AIC=1270.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1250.6 1268.6
     - b 1 1250.7 1268.7
     - v1 1 1251.0 1269.0
     - co 1 1251.1 1269.1
     - v2 1 1251.5 1269.5
     <none> 1250.6 1270.6
     - c 4 1376.8 1388.8
    
     Step: AIC=1268.57
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1250.7 1266.7
     - v1 1 1251.0 1267.0
     - co 1 1251.1 1267.1
     - v2 1 1251.5 1267.5
     <none> 1250.6 1268.6
     - c 4 1376.9 1386.9
    
     Step: AIC=1266.69
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1251.1 1265.1
     - co 1 1251.2 1265.2
     - v2 1 1251.6 1265.6
     <none> 1250.7 1266.7
     - c 4 1376.9 1384.9
    
     Step: AIC=1265.11
     y ~ v2 + c + co
    
     Df Deviance AIC
     - co 1 1251.7 1263.7
     - v2 1 1252.0 1264.0
     <none> 1251.1 1265.1
     - c 4 1377.6 1383.6
    
     Step: AIC=1263.71
     y ~ v2 + c
    
     Df Deviance AIC
     - v2 1 1252.6 1262.6
     <none> 1251.7 1263.7
     - c 4 1379.5 1383.5
    
     Step: AIC=1262.61
     y ~ c
    
     Df Deviance AIC
     <none> 1252.6 1262.6
     - c 4 1380.8 1382.8
     Start: AIC=1270.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1250.6 1268.6
     - b 1 1250.7 1268.7
     - v1 1 1251.0 1269.0
     - co 1 1251.1 1269.1
     - v2 1 1251.5 1269.5
     <none> 1250.6 1270.6
     - c 4 1376.8 1388.8
    
     Step: AIC=1268.57
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1250.7 1266.7
     - v1 1 1251.0 1267.0
     - co 1 1251.1 1267.1
     - v2 1 1251.5 1267.5
     <none> 1250.6 1268.6
     - c 4 1376.9 1386.9
    
     Step: AIC=1266.69
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1251.1 1265.1
     - co 1 1251.2 1265.2
     - v2 1 1251.6 1265.6
     <none> 1250.7 1266.7
     - c 4 1376.9 1384.9
    
     Step: AIC=1265.11
     y ~ v2 + c + co
    
     Df Deviance AIC
     - co 1 1251.7 1263.7
     - v2 1 1252.0 1264.0
     <none> 1251.1 1265.1
     - c 4 1377.6 1383.6
    
     Step: AIC=1263.71
     y ~ v2 + c
    
     Df Deviance AIC
     - v2 1 1252.6 1262.6
     <none> 1251.7 1263.7
     - c 4 1379.5 1383.5
    
     Step: AIC=1262.61
     y ~ c
    
     Df Deviance AIC
     <none> 1252.6 1262.6
     - c 4 1380.8 1382.8
     -- 2. Failure: irmi step (@test_IRMI_ordered.R#15) ----------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
    
     Start: AIC=1387.85
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1367.9 1385.9
     - v1 1 1367.9 1385.9
     - m 1 1368.2 1386.2
     - v2 1 1369.1 1387.1
     - co 1 1369.4 1387.4
     <none> 1367.8 1387.8
     - c 4 1382.4 1394.4
    
     Step: AIC=1385.9
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - v1 1 1368.0 1384.0
     - m 1 1368.2 1384.2
     - v2 1 1369.1 1385.1
     - co 1 1369.4 1385.4
     <none> 1367.9 1385.9
     - c 4 1382.5 1392.5
    
     Step: AIC=1383.98
     y ~ v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1368.3 1382.3
     - v2 1 1369.2 1383.2
     - co 1 1369.5 1383.5
     <none> 1368.0 1384.0
     - c 4 1382.5 1390.5
    
     Step: AIC=1382.27
     y ~ v2 + c + co
    
     Df Deviance AIC
     - v2 1 1369.5 1381.5
     - co 1 1369.8 1381.8
     <none> 1368.3 1382.3
     - c 4 1382.8 1388.8
    
     Step: AIC=1381.53
     y ~ c + co
    
     Df Deviance AIC
     - co 1 1371.0 1381.0
     <none> 1369.5 1381.5
     - c 4 1384.2 1388.2
    
     Step: AIC=1381
     y ~ c
    
     Df Deviance AIC
     <none> 1371.0 1381.0
     - c 4 1386.2 1388.2
     Start: AIC=1270.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1250.6 1268.6
     - b 1 1250.7 1268.7
     - v1 1 1251.0 1269.0
     - co 1 1251.1 1269.1
     - v2 1 1251.5 1269.5
     <none> 1250.6 1270.6
     - c 4 1376.8 1388.8
    
     Step: AIC=1268.57
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1250.7 1266.7
     - v1 1 1251.0 1267.0
     - co 1 1251.1 1267.1
     - v2 1 1251.5 1267.5
     <none> 1250.6 1268.6
     - c 4 1376.9 1386.9
    
     Step: AIC=1266.69
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1251.1 1265.1
     - co 1 1251.2 1265.2
     - v2 1 1251.6 1265.6
     <none> 1250.7 1266.7
     - c 4 1376.9 1384.9
    
     Step: AIC=1265.11
     y ~ v2 + c + co
    
     Df Deviance AIC
     - co 1 1251.7 1263.7
     - v2 1 1252.0 1264.0
     <none> 1251.1 1265.1
     - c 4 1377.6 1383.6
    
     Step: AIC=1263.71
     y ~ v2 + c
    
     Df Deviance AIC
     - v2 1 1252.6 1262.6
     <none> 1251.7 1263.7
     - c 4 1379.5 1383.5
    
     Step: AIC=1262.61
     y ~ c
    
     Df Deviance AIC
     <none> 1252.6 1262.6
     - c 4 1380.8 1382.8
     Start: AIC=1270.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1250.6 1268.6
     - b 1 1250.7 1268.7
     - v1 1 1251.0 1269.0
     - co 1 1251.1 1269.1
     - v2 1 1251.5 1269.5
     <none> 1250.6 1270.6
     - c 4 1376.8 1388.8
    
     Step: AIC=1268.57
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1250.7 1266.7
     - v1 1 1251.0 1267.0
     - co 1 1251.1 1267.1
     - v2 1 1251.5 1267.5
     <none> 1250.6 1268.6
     - c 4 1376.9 1386.9
    
     Step: AIC=1266.69
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1251.1 1265.1
     - co 1 1251.2 1265.2
     - v2 1 1251.6 1265.6
     <none> 1250.7 1266.7
     - c 4 1376.9 1384.9
    
     Step: AIC=1265.11
     y ~ v2 + c + co
    
     Df Deviance AIC
     - co 1 1251.7 1263.7
     - v2 1 1252.0 1264.0
     <none> 1251.1 1265.1
     - c 4 1377.6 1383.6
    
     Step: AIC=1263.71
     y ~ v2 + c
    
     Df Deviance AIC
     - v2 1 1252.6 1262.6
     <none> 1251.7 1263.7
     - c 4 1379.5 1383.5
    
     Step: AIC=1262.61
     y ~ c
    
     Df Deviance AIC
     <none> 1252.6 1262.6
     - c 4 1380.8 1382.8
     -- 3. Failure: irmi step noise (@test_IRMI_ordered.R#20) ----------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
    
     -- 4. Failure: irmi robust (@test_IRMI_ordered.R#25) --------------------------
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
    
     -- 5. Failure: irmi robust noise (@test_IRMI_ordered.R#34) --------------------
     `... <- NULL` did not produce any warnings.
    
     -- 6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39) ----
     `... <- NULL` did not produce any warnings.
    
    
     Missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
    
     Imputed missings in variables:
     Variable Count
     NonD 14
     Dream 12
     Sleep 4
     Span 4
     Gest 4
     Time difference of 0.03119898 secs
     Time difference of 0.03119898 secs
     Time difference of 0.03119802 secs
     Time difference of 0.03119898 secs
     No missings in x.
     == testthat results ===========================================================
     [ OK: 135 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 6 ]
     1. Failure: irmi base (@test_IRMI_ordered.R#10)
     2. Failure: irmi step (@test_IRMI_ordered.R#15)
     3. Failure: irmi step noise (@test_IRMI_ordered.R#20)
     4. Failure: irmi robust (@test_IRMI_ordered.R#25)
     5. Failure: irmi robust noise (@test_IRMI_ordered.R#34)
     6. Failure: irmi robust noise with no imp_var (@test_IRMI_ordered.R#39)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64