1- test_that(" check_reliability - frequentist" , {
1+ test_that(" performance_reliability - frequentist" , {
22 skip_if_not_installed(" lme4" )
33 skip_if_not_installed(" glmmTMB" )
44
55 data <- iris
66 data $ Place <- as.factor(rep(c(" P1" , " P2" , " P3" , " P4" , " P5" , " P6" ), each = 25 ))
77
88 m <- lme4 :: lmer(Sepal.Width ~ Petal.Width + (Petal.Width | Place ), data = data )
9- out <- check_reliability (m )
9+ out <- performance_reliability (m )
1010 expect_identical(dim(out ), c(2L , 5L ))
1111
1212 m <- glmmTMB :: glmmTMB(Sepal.Width ~ Petal.Width + (Petal.Width | Place ), data = data )
13- out <- check_reliability (m )
13+ out <- performance_reliability (m )
1414 expect_identical(dim(out ), c(2L , 5L ))
1515})
1616
17- test_that(" check_reliability - Bayesian" , {
17+ test_that(" performance_reliability - Bayesian" , {
1818 skip_if_not_installed(" curl" )
1919 skip_if_offline()
2020 skip_if_not_installed(" httr2" )
@@ -33,11 +33,11 @@ test_that("check_reliability - Bayesian", {
3333 # )
3434 m <- insight :: download_model(" brms_mixed_10" )
3535 skip_if(is.null(m ))
36- out <- check_reliability (m )
36+ out <- performance_reliability (m )
3737 expect_identical(dim(out ), c(2L , 5L ))
3838
3939 m <- insight :: download_model(" brms_sigma_3" )
4040 skip_if(is.null(m ))
41- out <- check_reliability (m )
41+ out <- performance_reliability (m )
4242 expect_identical(dim(out ), c(4L , 6L ))
4343})
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