CRAN Package Check Results for Package micEcon

Last updated on 2026-09-04 01:51:50 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.6-20 6.32 70.53 76.85 OK
r-devel-linux-x86_64-debian-gcc 0.6-20 4.10 51.16 55.26 NOTE
r-devel-linux-x86_64-fedora-clang 0.6-20 51.98 OK
r-devel-linux-x86_64-fedora-gcc 0.6-20 51.82 OK
r-devel-windows-x86_64 0.6-20 9.00 91.00 100.00 OK
r-patched-linux-x86_64 0.6-20 5.28 65.98 71.26 OK
r-release-linux-x86_64 0.6-20 4.42 66.64 71.06 OK
r-release-macos-arm64 0.6-20 1.00 20.00 21.00 OK
r-release-macos-x86_64 0.6-20 4.00 68.00 72.00 OK
r-release-windows-x86_64 0.6-20 7.00 88.00 95.00 OK
r-oldrel-macos-arm64 0.6-20 OK
r-oldrel-macos-x86_64 0.6-20 4.00 74.00 78.00 OK
r-oldrel-windows-x86_64 0.6-20 10.00 109.00 119.00 OK

Check Details

Version: 0.6-20
Check: tests
Result: NOTE Running ‘cobbDouglasTest.R’ [3s/3s] Comparing ‘cobbDouglasTest.Rout’ to ‘cobbDouglasTest.Rout.save’ ... OK Running ‘logDataSetTest.R’ [1s/1s] Comparing ‘logDataSetTest.Rout’ to ‘logDataSetTest.Rout.save’ ... OK Running ‘quadFunc.R’ [2s/2s] Comparing ‘quadFunc.Rout’ to ‘quadFunc.Rout.save’ ... 60,62c60 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, < data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 337,338c335 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 543,544c540 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1 + d_2, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 679c675 < lm(formula = y ~ 1 + d_1 + d_2 + d_3 + d_4, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 816c812 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 980,981c976 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 1122,1123c1117 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 1285,1286c1279 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1 + d_2_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 1427,1428c1420 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1 + d_2_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 1594,1596c1586,1587 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, < data = estData, x = TRUE, y = TRUE) --- > lm(formula = as.formula(estFormula), data = estData, x = TRUE, > y = TRUE) Running ‘translog.R’ [2s/2s] Comparing ‘translog.Rout’ to ‘translog.Rout.save’ ... 81,83c81 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, < data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 1629,1630c1627 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 1878,1879c1875 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1 + d_2, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 2042,2043c2038 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 2219,2220c2214 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 2417,2418c2411 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1 + d_2_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 2607,2608c2600 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1 + d_2_, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 3082,3084c3074,3075 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, < data = estData, x = TRUE, y = TRUE) --- > lm(formula = as.formula(estFormula), data = estData, x = TRUE, > y = TRUE) Running ‘translogCost.R’ [1s/1s] Comparing ‘translogCost.Rout’ to ‘translogCost.Rout.save’ ... 37,38c37 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 147,148c146 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 193,194c191 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 310,311c307 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + b_1_1 + b_1_2 + b_1_3 + < b_2_2 + b_2_3 + b_3_3 + d_1, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 356,358c352 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, < data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 505,507c499 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4, < data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 559,561c551 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + < d_1, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) 713,715c703 < lm(formula = y ~ 1 + a_1 + a_2 + a_3 + a_4 + b_1_1 + b_1_2 + < b_1_3 + b_1_4 + b_2_2 + b_2_3 + b_2_4 + b_3_3 + b_3_4 + b_4_4 + < d_1, data = estData) --- > lm(formula = as.formula(estFormula), data = estData) Running ‘utilityTest.R’ [1s/1s] Comparing ‘utilityTest.Rout’ to ‘utilityTest.Rout.save’ ... OK Flavor: r-devel-linux-x86_64-debian-gcc