CRAN Package Check Results for Package VIM

Last updated on 2020-06-01 01:51:14 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 6.0.0 38.25 237.53 275.78 OK
r-devel-linux-x86_64-debian-gcc 6.0.0 30.67 226.93 257.60 OK
r-devel-linux-x86_64-fedora-clang 6.0.0 301.60 NOTE
r-devel-linux-x86_64-fedora-gcc 6.0.0 272.76 NOTE
r-devel-windows-ix86+x86_64 6.0.0 92.00 352.00 444.00 OK
r-patched-linux-x86_64 6.0.0 33.78 225.13 258.91 OK
r-patched-solaris-x86 6.0.0 360.20 NOTE
r-release-linux-x86_64 6.0.0 37.44 224.79 262.23 OK
r-release-osx-x86_64 6.0.0 NOTE
r-release-windows-ix86+x86_64 6.0.0 71.00 300.00 371.00 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 0.01521111 secs
     Time difference of 0.0218451 secs
     Time difference of 0.02137303 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' [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=1390.77
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1370.8 1388.8
     - co 1 1370.9 1388.9
     - v1 1 1371.4 1389.4
     - c 4 1377.4 1389.4
     - m 1 1372.7 1390.7
     <none> 1370.8 1390.8
     - b 1 1376.1 1394.1
    
     Step: AIC=1388.79
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1370.9 1386.9
     - v1 1 1371.4 1387.4
     - c 4 1377.5 1387.5
     - m 1 1372.7 1388.7
     <none> 1370.8 1388.8
     - b 1 1376.1 1392.1
    
     Step: AIC=1386.9
     y ~ v1 + m + b + c
    
     Df Deviance AIC
     - v1 1 1371.5 1385.5
     - c 4 1377.6 1385.6
     - m 1 1372.8 1386.8
     <none> 1370.9 1386.9
     - b 1 1376.2 1390.2
    
     Step: AIC=1385.5
     y ~ m + b + c
    
     Df Deviance AIC
     - c 4 1378.2 1384.2
     - m 1 1373.5 1385.5
     <none> 1371.5 1385.5
     - b 1 1376.8 1388.8
    
     Step: AIC=1384.25
     y ~ m + b
    
     Df Deviance AIC
     - m 1 1380.1 1384.1
     <none> 1378.2 1384.2
     - b 1 1383.8 1387.8
    
     Step: AIC=1384.12
     y ~ b
    
     Df Deviance AIC
     <none> 1380.1 1384.1
     - b 1 1386.2 1388.2
     Start: AIC=1262.58
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1247.2 1259.2
     - co 1 1242.6 1260.6
     - m 1 1243.0 1261.0
     - v1 1 1243.3 1261.3
     - v2 1 1243.4 1261.4
     <none> 1242.6 1262.6
     - b 1 1380.9 1398.9
    
     Step: AIC=1259.18
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1247.2 1257.2
     - m 1 1247.5 1257.5
     - v1 1 1247.8 1257.8
     - v2 1 1248.0 1258.0
     <none> 1247.2 1259.2
     - b 1 1384.9 1394.9
    
     Step: AIC=1257.2
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - m 1 1247.5 1255.5
     - v1 1 1247.8 1255.8
     - v2 1 1248.0 1256.0
     <none> 1247.2 1257.2
     - b 1 1385.0 1393.0
    
     Step: AIC=1255.53
     y ~ v1 + v2 + b
    
     Df Deviance AIC
     - v1 1 1248.1 1254.1
     - v2 1 1248.3 1254.3
     <none> 1247.5 1255.5
     - b 1 1385.1 1391.1
    
     Step: AIC=1254.13
     y ~ v2 + b
    
     Df Deviance AIC
     - v2 1 1248.9 1252.9
     <none> 1248.1 1254.1
     - b 1 1385.8 1389.8
    
     Step: AIC=1252.92
     y ~ b
    
     Df Deviance AIC
     <none> 1248.9 1252.9
     - b 1 1385.9 1387.9
     Start: AIC=1262.58
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1247.2 1259.2
     - co 1 1242.6 1260.6
     - m 1 1243.0 1261.0
     - v1 1 1243.3 1261.3
     - v2 1 1243.4 1261.4
     <none> 1242.6 1262.6
     - b 1 1380.9 1398.9
    
     Step: AIC=1259.18
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1247.2 1257.2
     - m 1 1247.5 1257.5
     - v1 1 1247.8 1257.8
     - v2 1 1248.0 1258.0
     <none> 1247.2 1259.2
     - b 1 1384.9 1394.9
    
     Step: AIC=1257.2
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - m 1 1247.5 1255.5
     - v1 1 1247.8 1255.8
     - v2 1 1248.0 1256.0
     <none> 1247.2 1257.2
     - b 1 1385.0 1393.0
    
     Step: AIC=1255.53
     y ~ v1 + v2 + b
    
     Df Deviance AIC
     - v1 1 1248.1 1254.1
     - v2 1 1248.3 1254.3
     <none> 1247.5 1255.5
     - b 1 1385.1 1391.1
    
     Step: AIC=1254.13
     y ~ v2 + b
    
     Df Deviance AIC
     - v2 1 1248.9 1252.9
     <none> 1248.1 1254.1
     - b 1 1385.8 1389.8
    
     Step: AIC=1252.92
     y ~ b
    
     Df Deviance AIC
     <none> 1248.9 1252.9
     - b 1 1385.9 1387.9
     -- 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=1390.77
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v2 1 1370.8 1388.8
     - co 1 1370.9 1388.9
     - v1 1 1371.4 1389.4
     - c 4 1377.4 1389.4
     - m 1 1372.7 1390.7
     <none> 1370.8 1390.8
     - b 1 1376.1 1394.1
    
     Step: AIC=1388.79
     y ~ v1 + m + b + c + co
    
     Df Deviance AIC
     - co 1 1370.9 1386.9
     - v1 1 1371.4 1387.4
     - c 4 1377.5 1387.5
     - m 1 1372.7 1388.7
     <none> 1370.8 1388.8
     - b 1 1376.1 1392.1
    
     Step: AIC=1386.9
     y ~ v1 + m + b + c
    
     Df Deviance AIC
     - v1 1 1371.5 1385.5
     - c 4 1377.6 1385.6
     - m 1 1372.8 1386.8
     <none> 1370.9 1386.9
     - b 1 1376.2 1390.2
    
     Step: AIC=1385.5
     y ~ m + b + c
    
     Df Deviance AIC
     - c 4 1378.2 1384.2
     - m 1 1373.5 1385.5
     <none> 1371.5 1385.5
     - b 1 1376.8 1388.8
    
     Step: AIC=1384.25
     y ~ m + b
    
     Df Deviance AIC
     - m 1 1380.1 1384.1
     <none> 1378.2 1384.2
     - b 1 1383.8 1387.8
    
     Step: AIC=1384.12
     y ~ b
    
     Df Deviance AIC
     <none> 1380.1 1384.1
     - b 1 1386.2 1388.2
     Start: AIC=1262.58
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1247.2 1259.2
     - co 1 1242.6 1260.6
     - m 1 1243.0 1261.0
     - v1 1 1243.3 1261.3
     - v2 1 1243.4 1261.4
     <none> 1242.6 1262.6
     - b 1 1380.9 1398.9
    
     Step: AIC=1259.18
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1247.2 1257.2
     - m 1 1247.5 1257.5
     - v1 1 1247.8 1257.8
     - v2 1 1248.0 1258.0
     <none> 1247.2 1259.2
     - b 1 1384.9 1394.9
    
     Step: AIC=1257.2
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - m 1 1247.5 1255.5
     - v1 1 1247.8 1255.8
     - v2 1 1248.0 1256.0
     <none> 1247.2 1257.2
     - b 1 1385.0 1393.0
    
     Step: AIC=1255.53
     y ~ v1 + v2 + b
    
     Df Deviance AIC
     - v1 1 1248.1 1254.1
     - v2 1 1248.3 1254.3
     <none> 1247.5 1255.5
     - b 1 1385.1 1391.1
    
     Step: AIC=1254.13
     y ~ v2 + b
    
     Df Deviance AIC
     - v2 1 1248.9 1252.9
     <none> 1248.1 1254.1
     - b 1 1385.8 1389.8
    
     Step: AIC=1252.92
     y ~ b
    
     Df Deviance AIC
     <none> 1248.9 1252.9
     - b 1 1385.9 1387.9
     Start: AIC=1262.58
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1247.2 1259.2
     - co 1 1242.6 1260.6
     - m 1 1243.0 1261.0
     - v1 1 1243.3 1261.3
     - v2 1 1243.4 1261.4
     <none> 1242.6 1262.6
     - b 1 1380.9 1398.9
    
     Step: AIC=1259.18
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1247.2 1257.2
     - m 1 1247.5 1257.5
     - v1 1 1247.8 1257.8
     - v2 1 1248.0 1258.0
     <none> 1247.2 1259.2
     - b 1 1384.9 1394.9
    
     Step: AIC=1257.2
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - m 1 1247.5 1255.5
     - v1 1 1247.8 1255.8
     - v2 1 1248.0 1256.0
     <none> 1247.2 1257.2
     - b 1 1385.0 1393.0
    
     Step: AIC=1255.53
     y ~ v1 + v2 + b
    
     Df Deviance AIC
     - v1 1 1248.1 1254.1
     - v2 1 1248.3 1254.3
     <none> 1247.5 1255.5
     - b 1 1385.1 1391.1
    
     Step: AIC=1254.13
     y ~ v2 + b
    
     Df Deviance AIC
     - v2 1 1248.9 1252.9
     <none> 1248.1 1254.1
     - b 1 1385.8 1389.8
    
     Step: AIC=1252.92
     y ~ b
    
     Df Deviance AIC
     <none> 1248.9 1252.9
     - b 1 1385.9 1387.9
     -- 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 0.01559997 secs
     Time difference of 0.01999998 secs
     Time difference of 0.02200007 secs
     Time difference of 0.023 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' [24s]
    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=1371.74
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1352.0 1370.0
     - b 1 1352.0 1370.0
     - m 1 1352.4 1370.4
     <none> 1351.7 1371.7
     - v2 1 1355.4 1373.4
     - co 1 1357.3 1375.3
     - c 4 1372.3 1384.3
    
     Step: AIC=1369.95
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1352.2 1368.2
     - m 1 1352.6 1368.6
     <none> 1352.0 1370.0
     - v2 1 1355.6 1371.6
     - co 1 1357.5 1373.5
     - c 4 1372.4 1382.4
    
     Step: AIC=1368.18
     y ~ v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1352.9 1366.9
     <none> 1352.2 1368.2
     - v2 1 1355.8 1369.8
     - co 1 1357.7 1371.7
     - c 4 1372.5 1380.5
    
     Step: AIC=1366.89
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1352.9 1366.9
     - v2 1 1356.4 1368.4
     - co 1 1358.7 1370.7
     - c 4 1373.2 1379.2
     Start: AIC=1271.35
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1251.8 1269.8
     - b 1 1252.0 1270.0
     - v1 1 1252.8 1270.8
     <none> 1251.3 1271.3
     - v2 1 1260.7 1278.7
     - co 1 1264.4 1282.4
     - c 4 1353.0 1365.0
    
     Step: AIC=1269.83
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1252.4 1268.4
     - v1 1 1253.3 1269.3
     <none> 1251.8 1269.8
     - v2 1 1261.1 1277.1
     - co 1 1265.2 1281.2
     - c 4 1353.5 1363.5
    
     Step: AIC=1268.41
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1253.8 1267.8
     <none> 1252.4 1268.4
     - v2 1 1261.6 1275.6
     - co 1 1265.8 1279.8
     - c 4 1354.5 1362.5
    
     Step: AIC=1267.85
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1253.8 1267.8
     - v2 1 1263.0 1275.0
     - co 1 1267.0 1279.0
     - c 4 1354.8 1360.8
     Start: AIC=1267.33
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1247.8 1265.8
     - b 1 1248.3 1266.3
     - v1 1 1249.2 1267.2
     <none> 1247.3 1267.3
     - v2 1 1253.9 1271.9
     - co 1 1256.9 1274.9
     - c 4 1353.3 1365.3
    
     Step: AIC=1265.85
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1248.8 1264.8
     - v1 1 1249.7 1265.7
     <none> 1247.8 1265.8
     - v2 1 1254.3 1270.3
     - co 1 1257.7 1273.7
     - c 4 1353.8 1363.8
    
     Step: AIC=1264.78
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1250.6 1264.6
     <none> 1248.8 1264.8
     - v2 1 1255.2 1269.2
     - co 1 1258.6 1272.6
     - c 4 1355.1 1363.1
    
     Step: AIC=1264.58
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1250.6 1264.6
     - v2 1 1256.9 1268.9
     - co 1 1260.1 1272.1
     - c 4 1355.5 1361.5
     Start: AIC=1265.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1246.2 1264.2
     - m 1 1246.2 1264.2
     - v1 1 1247.5 1265.5
     <none> 1245.6 1265.6
     - v2 1 1250.1 1268.1
     - co 1 1253.2 1271.2
     - c 4 1352.8 1364.8
    
     Step: AIC=1264.18
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1246.8 1262.8
     - v1 1 1248.0 1264.0
     <none> 1246.2 1264.2
     - v2 1 1250.7 1266.7
     - co 1 1253.9 1269.9
     - c 4 1353.7 1363.7
    
     Step: AIC=1262.8
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1248.7 1262.7
     <none> 1246.8 1262.8
     - v2 1 1251.2 1265.2
     - co 1 1254.7 1268.7
     - c 4 1354.2 1362.2
    
     Step: AIC=1262.74
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1248.7 1262.7
     - v2 1 1253.1 1265.1
     - co 1 1256.4 1268.4
     - c 4 1354.7 1360.7
     Start: AIC=1262.36
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1242.5 1260.5
     - b 1 1242.9 1260.9
     <none> 1242.4 1262.4
     - v1 1 1245.2 1263.2
     - v2 1 1245.4 1263.4
     - co 1 1248.2 1266.2
     - c 4 1348.7 1360.7
    
     Step: AIC=1260.46
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1243.0 1259.0
     <none> 1242.5 1260.5
     - v1 1 1245.3 1261.3
     - v2 1 1245.4 1261.4
     - co 1 1248.4 1264.4
     - c 4 1348.8 1358.8
    
     Step: AIC=1259
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     <none> 1243.0 1259.0
     - v1 1 1245.8 1259.8
     - v2 1 1246.0 1260.0
     - co 1 1248.9 1262.9
     - c 4 1349.5 1357.5
     Start: AIC=1256.47
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1236.5 1254.5
     - b 1 1237.0 1255.0
     <none> 1236.5 1256.5
     - v2 1 1239.1 1257.1
     - co 1 1239.4 1257.4
     - v1 1 1240.1 1258.1
     - c 4 1342.9 1354.9
    
     Step: AIC=1254.54
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1237.1 1253.1
     <none> 1236.5 1254.5
     - v2 1 1239.1 1255.1
     - co 1 1239.6 1255.6
     - v1 1 1240.2 1256.2
     - c 4 1343.0 1353.0
    
     Step: AIC=1253.07
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     <none> 1237.1 1253.1
     - v2 1 1239.7 1253.7
     - co 1 1240.1 1254.1
     - v1 1 1240.7 1254.7
     - c 4 1343.7 1351.7
     Start: AIC=1248.17
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1228.5 1246.5
     - b 1 1228.7 1246.7
     - co 1 1228.8 1246.8
     - v2 1 1228.9 1246.9
     <none> 1228.2 1248.2
     - v1 1 1230.5 1248.5
     - c 4 1337.2 1349.2
    
     Step: AIC=1246.5
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1229.0 1245.0
     - co 1 1229.2 1245.2
     - v2 1 1229.2 1245.2
     <none> 1228.5 1246.5
     - v1 1 1230.9 1246.9
     - c 4 1337.7 1347.7
    
     Step: AIC=1244.99
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1229.7 1243.7
     - co 1 1229.7 1243.7
     <none> 1229.0 1245.0
     - v1 1 1231.3 1245.3
     - c 4 1338.2 1346.2
    
     Step: AIC=1243.7
     y ~ v1 + c + co
    
     Df Deviance AIC
     - co 1 1230.4 1242.4
     <none> 1229.7 1243.7
     - v1 1 1232.0 1244.0
     - c 4 1338.3 1344.3
    
     Step: AIC=1242.43
     y ~ v1 + c
    
     Df Deviance AIC
     <none> 1230.4 1242.4
     - v1 1 1232.6 1242.6
     - c 4 1338.7 1342.7
     Start: AIC=1248.17
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1228.5 1246.5
     - b 1 1228.7 1246.7
     - co 1 1228.8 1246.8
     - v2 1 1228.9 1246.9
     <none> 1228.2 1248.2
     - v1 1 1230.5 1248.5
     - c 4 1337.2 1349.2
    
     Step: AIC=1246.5
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1229.0 1245.0
     - co 1 1229.2 1245.2
     - v2 1 1229.2 1245.2
     <none> 1228.5 1246.5
     - v1 1 1230.9 1246.9
     - c 4 1337.7 1347.7
    
     Step: AIC=1244.99
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1229.7 1243.7
     - co 1 1229.7 1243.7
     <none> 1229.0 1245.0
     - v1 1 1231.3 1245.3
     - c 4 1338.2 1346.2
    
     Step: AIC=1243.7
     y ~ v1 + c + co
    
     Df Deviance AIC
     - co 1 1230.4 1242.4
     <none> 1229.7 1243.7
     - v1 1 1232.0 1244.0
     - c 4 1338.3 1344.3
    
     Step: AIC=1242.43
     y ~ v1 + c
    
     Df Deviance AIC
     <none> 1230.4 1242.4
     - v1 1 1232.6 1242.6
     - c 4 1338.7 1342.7
     -- 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=1371.74
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - v1 1 1352.0 1370.0
     - b 1 1352.0 1370.0
     - m 1 1352.4 1370.4
     <none> 1351.7 1371.7
     - v2 1 1355.4 1373.4
     - co 1 1357.3 1375.3
     - c 4 1372.3 1384.3
    
     Step: AIC=1369.95
     y ~ v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1352.2 1368.2
     - m 1 1352.6 1368.6
     <none> 1352.0 1370.0
     - v2 1 1355.6 1371.6
     - co 1 1357.5 1373.5
     - c 4 1372.4 1382.4
    
     Step: AIC=1368.18
     y ~ v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1352.9 1366.9
     <none> 1352.2 1368.2
     - v2 1 1355.8 1369.8
     - co 1 1357.7 1371.7
     - c 4 1372.5 1380.5
    
     Step: AIC=1366.89
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1352.9 1366.9
     - v2 1 1356.4 1368.4
     - co 1 1358.7 1370.7
     - c 4 1373.2 1379.2
     Start: AIC=1271.35
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1251.8 1269.8
     - b 1 1252.0 1270.0
     - v1 1 1252.8 1270.8
     <none> 1251.3 1271.3
     - v2 1 1260.7 1278.7
     - co 1 1264.4 1282.4
     - c 4 1353.0 1365.0
    
     Step: AIC=1269.83
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1252.4 1268.4
     - v1 1 1253.3 1269.3
     <none> 1251.8 1269.8
     - v2 1 1261.1 1277.1
     - co 1 1265.2 1281.2
     - c 4 1353.5 1363.5
    
     Step: AIC=1268.41
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1253.8 1267.8
     <none> 1252.4 1268.4
     - v2 1 1261.6 1275.6
     - co 1 1265.8 1279.8
     - c 4 1354.5 1362.5
    
     Step: AIC=1267.85
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1253.8 1267.8
     - v2 1 1263.0 1275.0
     - co 1 1267.0 1279.0
     - c 4 1354.8 1360.8
     Start: AIC=1267.33
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1247.8 1265.8
     - b 1 1248.3 1266.3
     - v1 1 1249.2 1267.2
     <none> 1247.3 1267.3
     - v2 1 1253.9 1271.9
     - co 1 1256.9 1274.9
     - c 4 1353.3 1365.3
    
     Step: AIC=1265.85
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1248.8 1264.8
     - v1 1 1249.7 1265.7
     <none> 1247.8 1265.8
     - v2 1 1254.3 1270.3
     - co 1 1257.7 1273.7
     - c 4 1353.8 1363.8
    
     Step: AIC=1264.78
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1250.6 1264.6
     <none> 1248.8 1264.8
     - v2 1 1255.2 1269.2
     - co 1 1258.6 1272.6
     - c 4 1355.1 1363.1
    
     Step: AIC=1264.58
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1250.6 1264.6
     - v2 1 1256.9 1268.9
     - co 1 1260.1 1272.1
     - c 4 1355.5 1361.5
     Start: AIC=1265.56
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - b 1 1246.2 1264.2
     - m 1 1246.2 1264.2
     - v1 1 1247.5 1265.5
     <none> 1245.6 1265.6
     - v2 1 1250.1 1268.1
     - co 1 1253.2 1271.2
     - c 4 1352.8 1364.8
    
     Step: AIC=1264.18
     y ~ v1 + v2 + m + c + co
    
     Df Deviance AIC
     - m 1 1246.8 1262.8
     - v1 1 1248.0 1264.0
     <none> 1246.2 1264.2
     - v2 1 1250.7 1266.7
     - co 1 1253.9 1269.9
     - c 4 1353.7 1363.7
    
     Step: AIC=1262.8
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v1 1 1248.7 1262.7
     <none> 1246.8 1262.8
     - v2 1 1251.2 1265.2
     - co 1 1254.7 1268.7
     - c 4 1354.2 1362.2
    
     Step: AIC=1262.74
     y ~ v2 + c + co
    
     Df Deviance AIC
     <none> 1248.7 1262.7
     - v2 1 1253.1 1265.1
     - co 1 1256.4 1268.4
     - c 4 1354.7 1360.7
     Start: AIC=1262.36
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1242.5 1260.5
     - b 1 1242.9 1260.9
     <none> 1242.4 1262.4
     - v1 1 1245.2 1263.2
     - v2 1 1245.4 1263.4
     - co 1 1248.2 1266.2
     - c 4 1348.7 1360.7
    
     Step: AIC=1260.46
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1243.0 1259.0
     <none> 1242.5 1260.5
     - v1 1 1245.3 1261.3
     - v2 1 1245.4 1261.4
     - co 1 1248.4 1264.4
     - c 4 1348.8 1358.8
    
     Step: AIC=1259
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     <none> 1243.0 1259.0
     - v1 1 1245.8 1259.8
     - v2 1 1246.0 1260.0
     - co 1 1248.9 1262.9
     - c 4 1349.5 1357.5
     Start: AIC=1256.47
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1236.5 1254.5
     - b 1 1237.0 1255.0
     <none> 1236.5 1256.5
     - v2 1 1239.1 1257.1
     - co 1 1239.4 1257.4
     - v1 1 1240.1 1258.1
     - c 4 1342.9 1354.9
    
     Step: AIC=1254.54
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1237.1 1253.1
     <none> 1236.5 1254.5
     - v2 1 1239.1 1255.1
     - co 1 1239.6 1255.6
     - v1 1 1240.2 1256.2
     - c 4 1343.0 1353.0
    
     Step: AIC=1253.07
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     <none> 1237.1 1253.1
     - v2 1 1239.7 1253.7
     - co 1 1240.1 1254.1
     - v1 1 1240.7 1254.7
     - c 4 1343.7 1351.7
     Start: AIC=1248.17
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1228.5 1246.5
     - b 1 1228.7 1246.7
     - co 1 1228.8 1246.8
     - v2 1 1228.9 1246.9
     <none> 1228.2 1248.2
     - v1 1 1230.5 1248.5
     - c 4 1337.2 1349.2
    
     Step: AIC=1246.5
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1229.0 1245.0
     - co 1 1229.2 1245.2
     - v2 1 1229.2 1245.2
     <none> 1228.5 1246.5
     - v1 1 1230.9 1246.9
     - c 4 1337.7 1347.7
    
     Step: AIC=1244.99
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1229.7 1243.7
     - co 1 1229.7 1243.7
     <none> 1229.0 1245.0
     - v1 1 1231.3 1245.3
     - c 4 1338.2 1346.2
    
     Step: AIC=1243.7
     y ~ v1 + c + co
    
     Df Deviance AIC
     - co 1 1230.4 1242.4
     <none> 1229.7 1243.7
     - v1 1 1232.0 1244.0
     - c 4 1338.3 1344.3
    
     Step: AIC=1242.43
     y ~ v1 + c
    
     Df Deviance AIC
     <none> 1230.4 1242.4
     - v1 1 1232.6 1242.6
     - c 4 1338.7 1342.7
     Start: AIC=1248.17
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - m 1 1228.5 1246.5
     - b 1 1228.7 1246.7
     - co 1 1228.8 1246.8
     - v2 1 1228.9 1246.9
     <none> 1228.2 1248.2
     - v1 1 1230.5 1248.5
     - c 4 1337.2 1349.2
    
     Step: AIC=1246.5
     y ~ v1 + v2 + b + c + co
    
     Df Deviance AIC
     - b 1 1229.0 1245.0
     - co 1 1229.2 1245.2
     - v2 1 1229.2 1245.2
     <none> 1228.5 1246.5
     - v1 1 1230.9 1246.9
     - c 4 1337.7 1347.7
    
     Step: AIC=1244.99
     y ~ v1 + v2 + c + co
    
     Df Deviance AIC
     - v2 1 1229.7 1243.7
     - co 1 1229.7 1243.7
     <none> 1229.0 1245.0
     - v1 1 1231.3 1245.3
     - c 4 1338.2 1346.2
    
     Step: AIC=1243.7
     y ~ v1 + c + co
    
     Df Deviance AIC
     - co 1 1230.4 1242.4
     <none> 1229.7 1243.7
     - v1 1 1232.0 1244.0
     - c 4 1338.3 1344.3
    
     Step: AIC=1242.43
     y ~ v1 + c
    
     Df Deviance AIC
     <none> 1230.4 1242.4
     - v1 1 1232.6 1242.6
     - c 4 1338.7 1342.7
     -- 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 0.01559997 secs
     Time difference of 0.01600003 secs
     Time difference of 0.0467999 secs
     Time difference of 0.03119993 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