CRAN Package Check Results for Package VIM

Last updated on 2020-12-31 00:47:02 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 6.0.0 42.87 187.54 230.41 OK
r-devel-linux-x86_64-debian-gcc 6.0.0 28.12 137.62 165.74 OK
r-devel-linux-x86_64-fedora-clang 6.0.0 281.52 NOTE
r-devel-linux-x86_64-fedora-gcc 6.0.0 273.88 NOTE
r-devel-windows-ix86+x86_64 6.0.0 84.00 283.00 367.00 OK
r-patched-linux-x86_64 6.0.0 35.15 170.53 205.68 OK
r-patched-solaris-x86 6.0.0 353.70 NOTE
r-release-linux-x86_64 6.0.0 36.45 171.76 208.21 OK
r-release-macos-x86_64 6.0.0 NOTE
r-release-windows-ix86+x86_64 6.0.0 84.00 327.00 411.00 OK
r-oldrel-macos-x86_64 6.0.0 ERROR
r-oldrel-windows-ix86+x86_64 6.0.0 53.00 230.00 283.00 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-macos-x86_64, r-oldrel-macos-x86_64

Version: 6.0.0
Check: Rd cross-references
Result: NOTE
    Undeclared packages ‘mvoutlier’, ‘mi’ in Rd xrefs
Flavor: r-devel-linux-x86_64-fedora-clang

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-macos-x86_64, r-oldrel-macos-x86_64

Version: 6.0.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [20s/19s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
     ── Failure (test_IRMI_ordered.R:15:3): irmi step ───────────────────────────────
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
     ── Failure (test_IRMI_ordered.R:20:3): irmi step noise ─────────────────────────
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
     ── Failure (test_IRMI_ordered.R:25:3): irmi robust ─────────────────────────────
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
     ── Failure (test_IRMI_ordered.R:34:3): irmi robust noise ───────────────────────
     `... <- NULL` did not produce any warnings.
     ── Failure (test_IRMI_ordered.R:39:3): irmi robust noise with no imp_var ───────
     `... <- NULL` did not produce any warnings.
    
     [ FAIL 6 | WARN 0 | SKIP 0 | PASS 135 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-macos-x86_64

Version: 6.0.0
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [19s]
    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")
     Start: AIC=1394.37
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1380.0 1392.0
     - v1 1 1374.4 1392.4
     - co 1 1374.4 1392.4
     - m 1 1374.4 1392.4
     - v2 1 1375.6 1393.6
     <none> 1374.4 1394.4
     - b 1 1379.0 1397.0
    
     Step: AIC=1391.95
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - v1 1 1380.0 1390.0
     - co 1 1380.0 1390.0
     - m 1 1380.0 1390.0
     - v2 1 1381.0 1391.0
     <none> 1380.0 1392.0
     - b 1 1384.4 1394.4
    
     Step: AIC=1389.95
     y ~ v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1380.0 1388.0
     - m 1 1380.0 1388.0
     - v2 1 1381.0 1389.0
     <none> 1380.0 1390.0
     - b 1 1384.4 1392.4
    
     Step: AIC=1387.97
     y ~ v2 + m + b
    
     Df Deviance AIC
     - m 1 1380.0 1386.0
     - v2 1 1381.0 1387.0
     <none> 1380.0 1388.0
     - b 1 1384.4 1390.4
    
     Step: AIC=1386.01
     y ~ v2 + b
    
     Df Deviance AIC
     - v2 1 1381.0 1385.0
     <none> 1380.0 1386.0
     - b 1 1384.5 1388.5
    
     Step: AIC=1385.05
     y ~ b
    
     Df Deviance AIC
     <none> 1381.0 1385.0
     - b 1 1385.7 1387.7
     Start: AIC=1267.05
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1249.3 1261.3
     - v2 1 1247.1 1265.1
     - co 1 1247.1 1265.1
     - v1 1 1247.2 1265.2
     - m 1 1247.8 1265.8
     <none> 1247.0 1267.0
     - b 1 1381.0 1399.0
    
     Step: AIC=1261.33
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1249.4 1259.4
     - v1 1 1249.4 1259.4
     - v2 1 1249.4 1259.4
     - m 1 1250.0 1260.0
     <none> 1249.3 1261.3
     - b 1 1384.1 1394.1
    
     Step: AIC=1259.39
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - v1 1 1249.5 1257.5
     - v2 1 1249.5 1257.5
     - m 1 1250.0 1258.0
     <none> 1249.4 1259.4
     - b 1 1384.3 1392.3
    
     Step: AIC=1257.46
     y ~ v2 + m + b
    
     Df Deviance AIC
     - v2 1 1249.5 1255.5
     - m 1 1250.1 1256.1
     <none> 1249.5 1257.5
     - b 1 1384.8 1390.8
    
     Step: AIC=1255.55
     y ~ m + b
    
     Df Deviance AIC
     - m 1 1250.2 1254.2
     <none> 1249.5 1255.5
     - b 1 1384.8 1388.8
    
     Step: AIC=1254.23
     y ~ b
    
     Df Deviance AIC
     <none> 1250.2 1254.2
     - b 1 1386.0 1388.0
     Start: AIC=1267.05
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1249.3 1261.3
     - v2 1 1247.1 1265.1
     - co 1 1247.1 1265.1
     - v1 1 1247.2 1265.2
     - m 1 1247.8 1265.8
     <none> 1247.0 1267.0
     - b 1 1381.0 1399.0
    
     Step: AIC=1261.33
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1249.4 1259.4
     - v1 1 1249.4 1259.4
     - v2 1 1249.4 1259.4
     - m 1 1250.0 1260.0
     <none> 1249.3 1261.3
     - b 1 1384.1 1394.1
    
     Step: AIC=1259.39
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - v1 1 1249.5 1257.5
     - v2 1 1249.5 1257.5
     - m 1 1250.0 1258.0
     <none> 1249.4 1259.4
     - b 1 1384.3 1392.3
    
     Step: AIC=1257.46
     y ~ v2 + m + b
    
     Df Deviance AIC
     - v2 1 1249.5 1255.5
     - m 1 1250.1 1256.1
     <none> 1249.5 1257.5
     - b 1 1384.8 1390.8
    
     Step: AIC=1255.55
     y ~ m + b
    
     Df Deviance AIC
     - m 1 1250.2 1254.2
     <none> 1249.5 1255.5
     - b 1 1384.8 1388.8
    
     Step: AIC=1254.23
     y ~ b
    
     Df Deviance AIC
     <none> 1250.2 1254.2
     - b 1 1386.0 1388.0
     Start: AIC=1394.37
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1380.0 1392.0
     - v1 1 1374.4 1392.4
     - co 1 1374.4 1392.4
     - m 1 1374.4 1392.4
     - v2 1 1375.6 1393.6
     <none> 1374.4 1394.4
     - b 1 1379.0 1397.0
    
     Step: AIC=1391.95
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - v1 1 1380.0 1390.0
     - co 1 1380.0 1390.0
     - m 1 1380.0 1390.0
     - v2 1 1381.0 1391.0
     <none> 1380.0 1392.0
     - b 1 1384.4 1394.4
    
     Step: AIC=1389.95
     y ~ v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1380.0 1388.0
     - m 1 1380.0 1388.0
     - v2 1 1381.0 1389.0
     <none> 1380.0 1390.0
     - b 1 1384.4 1392.4
    
     Step: AIC=1387.97
     y ~ v2 + m + b
    
     Df Deviance AIC
     - m 1 1380.0 1386.0
     - v2 1 1381.0 1387.0
     <none> 1380.0 1388.0
     - b 1 1384.4 1390.4
    
     Step: AIC=1386.01
     y ~ v2 + b
    
     Df Deviance AIC
     - v2 1 1381.0 1385.0
     <none> 1380.0 1386.0
     - b 1 1384.5 1388.5
    
     Step: AIC=1385.05
     y ~ b
    
     Df Deviance AIC
     <none> 1381.0 1385.0
     - b 1 1385.7 1387.7
     Start: AIC=1267.05
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1249.3 1261.3
     - v2 1 1247.1 1265.1
     - co 1 1247.1 1265.1
     - v1 1 1247.2 1265.2
     - m 1 1247.8 1265.8
     <none> 1247.0 1267.0
     - b 1 1381.0 1399.0
    
     Step: AIC=1261.33
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1249.4 1259.4
     - v1 1 1249.4 1259.4
     - v2 1 1249.4 1259.4
     - m 1 1250.0 1260.0
     <none> 1249.3 1261.3
     - b 1 1384.1 1394.1
    
     Step: AIC=1259.39
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - v1 1 1249.5 1257.5
     - v2 1 1249.5 1257.5
     - m 1 1250.0 1258.0
     <none> 1249.4 1259.4
     - b 1 1384.3 1392.3
    
     Step: AIC=1257.46
     y ~ v2 + m + b
    
     Df Deviance AIC
     - v2 1 1249.5 1255.5
     - m 1 1250.1 1256.1
     <none> 1249.5 1257.5
     - b 1 1384.8 1390.8
    
     Step: AIC=1255.55
     y ~ m + b
    
     Df Deviance AIC
     - m 1 1250.2 1254.2
     <none> 1249.5 1255.5
     - b 1 1384.8 1388.8
    
     Step: AIC=1254.23
     y ~ b
    
     Df Deviance AIC
     <none> 1250.2 1254.2
     - b 1 1386.0 1388.0
     Start: AIC=1267.05
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1249.3 1261.3
     - v2 1 1247.1 1265.1
     - co 1 1247.1 1265.1
     - v1 1 1247.2 1265.2
     - m 1 1247.8 1265.8
     <none> 1247.0 1267.0
     - b 1 1381.0 1399.0
    
     Step: AIC=1261.33
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1249.4 1259.4
     - v1 1 1249.4 1259.4
     - v2 1 1249.4 1259.4
     - m 1 1250.0 1260.0
     <none> 1249.3 1261.3
     - b 1 1384.1 1394.1
    
     Step: AIC=1259.39
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - v1 1 1249.5 1257.5
     - v2 1 1249.5 1257.5
     - m 1 1250.0 1258.0
     <none> 1249.4 1259.4
     - b 1 1384.3 1392.3
    
     Step: AIC=1257.46
     y ~ v2 + m + b
    
     Df Deviance AIC
     - v2 1 1249.5 1255.5
     - m 1 1250.1 1256.1
     <none> 1249.5 1257.5
     - b 1 1384.8 1390.8
    
     Step: AIC=1255.55
     y ~ m + b
    
     Df Deviance AIC
     - m 1 1250.2 1254.2
     <none> 1249.5 1255.5
     - b 1 1384.8 1388.8
    
     Step: AIC=1254.23
     y ~ b
    
     Df Deviance AIC
     <none> 1250.2 1254.2
     - b 1 1386.0 1388.0
    
     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 0.0156002 secs
     Time difference of 0.03119993 secs
     Time difference of 0.03119993 secs
     No missings in x.
     == Failed tests ================================================================
     -- Failure (test_IRMI_ordered.R:10:3): irmi base -------------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:15:3): irmi step -------------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:20:3): irmi step noise -------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:25:3): irmi robust -----------------------------
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:34:3): irmi robust noise -----------------------
     `... <- NULL` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:39:3): irmi robust noise with no imp_var -------
     `... <- NULL` did not produce any warnings.
    
     [ FAIL 6 | WARN 0 | SKIP 0 | PASS 135 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64

Version: 6.0.0
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [21s]
    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")
     Start: AIC=1381.17
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1367.8 1379.8
     - b 1 1361.8 1379.8
     - co 1 1361.8 1379.8
     - v1 1 1362.2 1380.2
     - v2 1 1362.2 1380.2
     <none> 1361.2 1381.2
     - m 1 1369.1 1387.1
    
     Step: AIC=1379.79
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - b 1 1368.3 1378.3
     - co 1 1368.5 1378.5
     - v1 1 1368.8 1378.8
     - v2 1 1368.8 1378.8
     <none> 1367.8 1379.8
     - m 1 1376.4 1386.4
    
     Step: AIC=1378.32
     y ~ v1 + v2 + m + co
    
     Df Deviance AIC
     - co 1 1369.1 1377.1
     - v1 1 1369.3 1377.3
     - v2 1 1369.4 1377.4
     <none> 1368.3 1378.3
     - m 1 1377.0 1385.0
    
     Step: AIC=1377.1
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     - v2 1 1370.2 1376.2
     - v1 1 1370.2 1376.2
     <none> 1369.1 1377.1
     - m 1 1377.4 1383.4
    
     Step: AIC=1376.15
     y ~ v1 + m
    
     Df Deviance AIC
     - v1 1 1371.2 1375.2
     <none> 1370.2 1376.2
     - m 1 1378.5 1382.5
    
     Step: AIC=1375.2
     y ~ m
    
     Df Deviance AIC
     <none> 1371.2 1375.2
     - m 1 1379.6 1381.6
     Start: AIC=1272.71
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1254.9 1266.9
     - b 1 1253.8 1271.8
     - co 1 1254.0 1272.0
     <none> 1252.7 1272.7
     - v1 1 1255.2 1273.2
     - v2 1 1255.8 1273.8
     - m 1 1310.9 1328.9
    
     Step: AIC=1266.9
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1256.1 1266.1
     - b 1 1256.2 1266.2
     <none> 1254.9 1266.9
     - v1 1 1257.3 1267.3
     - v2 1 1257.9 1267.9
     - m 1 1313.3 1323.3
    
     Step: AIC=1266.11
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1257.3 1265.3
     <none> 1256.1 1266.1
     - v1 1 1258.7 1266.7
     - v2 1 1259.1 1267.1
     - m 1 1313.6 1321.6
    
     Step: AIC=1265.31
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1257.3 1265.3
     - v1 1 1260.0 1266.0
     - v2 1 1260.3 1266.3
     - m 1 1314.6 1320.6
     Start: AIC=1265.3
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1247.4 1259.4
     - b 1 1246.6 1264.6
     - co 1 1247.0 1265.0
     <none> 1245.3 1265.3
     - v2 1 1250.8 1268.8
     - v1 1 1251.6 1269.6
     - m 1 1290.1 1308.1
    
     Step: AIC=1259.44
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1249.0 1259.0
     - b 1 1249.0 1259.0
     <none> 1247.4 1259.4
     - v2 1 1252.9 1262.9
     - v1 1 1253.6 1263.6
     - m 1 1292.3 1302.3
    
     Step: AIC=1258.97
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1250.4 1258.4
     <none> 1249.0 1259.0
     - v2 1 1254.4 1262.4
     - v1 1 1255.6 1263.6
     - m 1 1292.8 1300.8
    
     Step: AIC=1258.43
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1250.4 1258.4
     - v2 1 1255.9 1261.9
     - v1 1 1257.1 1263.1
     - m 1 1294.1 1300.1
     Start: AIC=1263.71
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1245.7 1257.7
     - co 1 1244.8 1262.8
     - b 1 1245.2 1263.2
     <none> 1243.7 1263.7
     - v2 1 1250.4 1268.4
     - v1 1 1251.9 1269.9
     - m 1 1281.5 1299.5
    
     Step: AIC=1257.74
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1246.8 1256.8
     - b 1 1247.5 1257.5
     <none> 1245.7 1257.7
     - v2 1 1252.4 1262.4
     - v1 1 1253.8 1263.8
     - m 1 1283.4 1293.4
    
     Step: AIC=1256.77
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1248.4 1256.4
     <none> 1246.8 1256.8
     - v2 1 1253.4 1261.4
     - v1 1 1255.2 1263.2
     - m 1 1283.7 1291.7
    
     Step: AIC=1256.43
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1248.4 1256.4
     - v2 1 1255.1 1261.1
     - v1 1 1257.0 1263.0
     - m 1 1285.2 1291.2
     Start: AIC=1263.63
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1245.2 1257.2
     - co 1 1244.5 1262.5
     - b 1 1245.2 1263.2
     <none> 1243.6 1263.6
     - v1 1 1251.0 1269.0
     - v2 1 1251.4 1269.4
     - m 1 1276.4 1294.4
    
     Step: AIC=1257.18
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1246.1 1256.1
     - b 1 1247.0 1257.0
     <none> 1245.2 1257.2
     - v1 1 1252.5 1262.5
     - v2 1 1252.9 1262.9
     - m 1 1278.2 1288.2
    
     Step: AIC=1256.06
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1247.8 1255.8
     <none> 1246.1 1256.1
     - v1 1 1253.7 1261.7
     - v2 1 1253.8 1261.8
     - m 1 1278.4 1286.4
    
     Step: AIC=1255.77
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1247.8 1255.8
     - v1 1 1255.5 1261.5
     - v2 1 1255.5 1261.5
     - m 1 1280.0 1286.0
     Start: AIC=1381.17
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1367.8 1379.8
     - b 1 1361.8 1379.8
     - co 1 1361.8 1379.8
     - v1 1 1362.2 1380.2
     - v2 1 1362.2 1380.2
     <none> 1361.2 1381.2
     - m 1 1369.1 1387.1
    
     Step: AIC=1379.79
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - b 1 1368.3 1378.3
     - co 1 1368.5 1378.5
     - v1 1 1368.8 1378.8
     - v2 1 1368.8 1378.8
     <none> 1367.8 1379.8
     - m 1 1376.4 1386.4
    
     Step: AIC=1378.32
     y ~ v1 + v2 + m + co
    
     Df Deviance AIC
     - co 1 1369.1 1377.1
     - v1 1 1369.3 1377.3
     - v2 1 1369.4 1377.4
     <none> 1368.3 1378.3
     - m 1 1377.0 1385.0
    
     Step: AIC=1377.1
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     - v2 1 1370.2 1376.2
     - v1 1 1370.2 1376.2
     <none> 1369.1 1377.1
     - m 1 1377.4 1383.4
    
     Step: AIC=1376.15
     y ~ v1 + m
    
     Df Deviance AIC
     - v1 1 1371.2 1375.2
     <none> 1370.2 1376.2
     - m 1 1378.5 1382.5
    
     Step: AIC=1375.2
     y ~ m
    
     Df Deviance AIC
     <none> 1371.2 1375.2
     - m 1 1379.6 1381.6
     Start: AIC=1272.71
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1254.9 1266.9
     - b 1 1253.8 1271.8
     - co 1 1254.0 1272.0
     <none> 1252.7 1272.7
     - v1 1 1255.2 1273.2
     - v2 1 1255.8 1273.8
     - m 1 1310.9 1328.9
    
     Step: AIC=1266.9
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1256.1 1266.1
     - b 1 1256.2 1266.2
     <none> 1254.9 1266.9
     - v1 1 1257.3 1267.3
     - v2 1 1257.9 1267.9
     - m 1 1313.3 1323.3
    
     Step: AIC=1266.11
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1257.3 1265.3
     <none> 1256.1 1266.1
     - v1 1 1258.7 1266.7
     - v2 1 1259.1 1267.1
     - m 1 1313.6 1321.6
    
     Step: AIC=1265.31
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1257.3 1265.3
     - v1 1 1260.0 1266.0
     - v2 1 1260.3 1266.3
     - m 1 1314.6 1320.6
     Start: AIC=1265.3
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1247.4 1259.4
     - b 1 1246.6 1264.6
     - co 1 1247.0 1265.0
     <none> 1245.3 1265.3
     - v2 1 1250.8 1268.8
     - v1 1 1251.6 1269.6
     - m 1 1290.1 1308.1
    
     Step: AIC=1259.44
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1249.0 1259.0
     - b 1 1249.0 1259.0
     <none> 1247.4 1259.4
     - v2 1 1252.9 1262.9
     - v1 1 1253.6 1263.6
     - m 1 1292.3 1302.3
    
     Step: AIC=1258.97
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1250.4 1258.4
     <none> 1249.0 1259.0
     - v2 1 1254.4 1262.4
     - v1 1 1255.6 1263.6
     - m 1 1292.8 1300.8
    
     Step: AIC=1258.43
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1250.4 1258.4
     - v2 1 1255.9 1261.9
     - v1 1 1257.1 1263.1
     - m 1 1294.1 1300.1
     Start: AIC=1263.71
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1245.7 1257.7
     - co 1 1244.8 1262.8
     - b 1 1245.2 1263.2
     <none> 1243.7 1263.7
     - v2 1 1250.4 1268.4
     - v1 1 1251.9 1269.9
     - m 1 1281.5 1299.5
    
     Step: AIC=1257.74
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1246.8 1256.8
     - b 1 1247.5 1257.5
     <none> 1245.7 1257.7
     - v2 1 1252.4 1262.4
     - v1 1 1253.8 1263.8
     - m 1 1283.4 1293.4
    
     Step: AIC=1256.77
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1248.4 1256.4
     <none> 1246.8 1256.8
     - v2 1 1253.4 1261.4
     - v1 1 1255.2 1263.2
     - m 1 1283.7 1291.7
    
     Step: AIC=1256.43
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1248.4 1256.4
     - v2 1 1255.1 1261.1
     - v1 1 1257.0 1263.0
     - m 1 1285.2 1291.2
     Start: AIC=1263.63
     y ~ v1 + v2 + m + b + c + co
    
     Df Deviance AIC
     - c 4 1245.2 1257.2
     - co 1 1244.5 1262.5
     - b 1 1245.2 1263.2
     <none> 1243.6 1263.6
     - v1 1 1251.0 1269.0
     - v2 1 1251.4 1269.4
     - m 1 1276.4 1294.4
    
     Step: AIC=1257.18
     y ~ v1 + v2 + m + b + co
    
     Df Deviance AIC
     - co 1 1246.1 1256.1
     - b 1 1247.0 1257.0
     <none> 1245.2 1257.2
     - v1 1 1252.5 1262.5
     - v2 1 1252.9 1262.9
     - m 1 1278.2 1288.2
    
     Step: AIC=1256.06
     y ~ v1 + v2 + m + b
    
     Df Deviance AIC
     - b 1 1247.8 1255.8
     <none> 1246.1 1256.1
     - v1 1 1253.7 1261.7
     - v2 1 1253.8 1261.8
     - m 1 1278.4 1286.4
    
     Step: AIC=1255.77
     y ~ v1 + v2 + m
    
     Df Deviance AIC
     <none> 1247.8 1255.8
     - v1 1 1255.5 1261.5
     - v2 1 1255.5 1261.5
     - m 1 1280.0 1286.0
    
     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 0.03119993 secs
     Time difference of 0.01559997 secs
     Time difference of 0.03120017 secs
     Time difference of 0.0156002 secs
     No missings in x.
     == Failed tests ================================================================
     -- Failure (test_IRMI_ordered.R:10:3): irmi base -------------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co")` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:15:3): irmi step -------------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE)` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:20:3): irmi step noise -------------------------
     `ir <- irmi(test_df, mixed = "m", count = "co", step = TRUE, noise = TRUE)` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:25:3): irmi robust -----------------------------
     `ir <- irmi(test_df, robust = TRUE, mixed = "m", count = "co")` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:34:3): irmi robust noise -----------------------
     `... <- NULL` did not produce any warnings.
     -- Failure (test_IRMI_ordered.R:39:3): irmi robust noise with no imp_var -------
     `... <- NULL` did not produce any warnings.
    
     [ FAIL 6 | WARN 0 | SKIP 0 | PASS 135 ]
     Error: Test failures
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64