Upcoming breaking changes in loo_compare() output

NEWS.md

@@ -1,7 +1,11 @@
 # BayesERtools 0.2.5 (in development)
 
 ## Major changes
-
+
+* Updated compatibility with upcoming changes to `loo_compare()` output
+  structure in the `loo` package (> 2.9.0), which now returns a data frame
+  instead of a matrix and includes additional diagnostic columns.
+
 ## Minor changes
 
 * Allow manual breaks in `plot_er()` to control the position of the probability

R/dev_ermod_lin.R

@@ -489,7 +489,11 @@ dev_ermod_lin_cov_sel <- function(
       function(.x) loo(.x)
     )
     comp_exposures <- loo::loo_compare(l_loo_exposures)
-    var_exposure <- rownames(comp_exposures)[[1]]
+    if ("model" %in% colnames(comp_exposures)) {
+      var_exposure <- comp_exposures$model[[1]]
+    } else {
+      var_exposure <- rownames(comp_exposures)[[1]]
+    }
 
     if (verbosity_level >= 1) {
       cli::cli_alert_info("The exposure metric selected was: {var_exposure}")

tests/testthat/test-dev_ermod_lin.R

@@ -209,10 +209,17 @@ mod_mtcars <- dev_ermod_bin(
 
 test_that("Exposure metrics selection", {
   expect_equal(extract_var_exposure(ermod_bin_exp_sel), "AUCss_1000")
-  expect_equal(
-    extract_exp_sel_comp(ermod_bin_exp_sel)[, 1],
-    c(AUCss_1000 = 0.000000, Cmaxss = -0.6490312, Cminss = -2.7563957)
-  )
+  if ("model" %in% colnames(extract_exp_sel_comp(ermod_bin_exp_sel))) {
+    expect_equal(
+      extract_exp_sel_comp(ermod_bin_exp_sel)[, 2],
+      c(0.000000, -0.6490312, -2.7563957)
+    )
+  } else {
+    expect_equal(
+      extract_exp_sel_comp(ermod_bin_exp_sel)[, 1],
+      c(AUCss_1000 = 0.000000, Cmaxss = -0.6490312, Cminss = -2.7563957)
+    )
+  }
 
   priors <- prior_summary(ermod_bin_exp_sel$l_mod_exposures[[2]])
   expect_equal(priors$prior$scale, 5)

tests/testthat/test-loo_kfold.R

@@ -104,7 +104,11 @@ if (.if_run_ex_eval_mod()) {
   })
 
   test_that("kfold", {
-    expect_gt(comp[[2, 1]], -0.5)
+    if ("model" %in% colnames(comp)) {
+      expect_gt(comp[[2, 2]], -0.5)
+    } else {
+      expect_gt(comp[[2, 1]], -0.5)
+    }
     expect_equal(
       kfold_ermod_bin$estimates[, 1],
       c(elpd_kfold = -38.242947, p_kfold = 3.040264, kfoldic = 76.485893)