styler

Author: mattansb

R/describe_posterior.R

@@ -837,7 +837,7 @@ describe_posterior.slopes <- function(posterior,
                                       verbose = TRUE,
                                       ...) {
   if (any(c("all", "bf", "bayesfactor", "bayes_factor") %in% tolower(test)) ||
-      "si" %in% tolower(ci_method)) {
+    "si" %in% tolower(ci_method)) {
     samps <- .clean_priors_and_posteriors(posterior, bf_prior, verbose = verbose)
     bf_prior <- samps$prior
     posterior_samples <- samps$posterior

tests/testthat/test-marginaleffects.R

@@ -1,4 +1,3 @@
-
 test_that("emmGrid descrive_posterior", {
   skip_on_ci()
   skip_on_cran()
@@ -13,27 +12,34 @@ test_that("emmGrid descrive_posterior", {
   mfx <- marginaleffects::avg_slopes(mod, by = "am")
   mfx_samps <- as.data.frame(t(attr(mfx, "posterior_draws")))
 
-  results <- describe_posterior(mfx, centrality = "MAP", ci_method = "hdi",
-                                test = c("pd", "rope", "p_map", "equivalence_test"))
-  results_draws <- describe_posterior(mfx_samps, centrality = "MAP", ci_method = "hdi",
-                                      test = c("pd", "rope", "p_map", "equivalence_test"))
+  results <- describe_posterior(mfx,
+    centrality = "MAP", ci_method = "hdi",
+    test = c("pd", "rope", "p_map", "equivalence_test")
+  )
+  results_draws <- describe_posterior(mfx_samps,
+    centrality = "MAP", ci_method = "hdi",
+    test = c("pd", "rope", "p_map", "equivalence_test")
+  )
 
   expect_true(all(c("term", "contrast") %in% colnames(results)))
   expect_equal(results[setdiff(colnames(results), c("term", "contrast"))],
-               results_draws[setdiff(colnames(results_draws), "Parameter")],
-               ignore_attr = TRUE)
+    results_draws[setdiff(colnames(results_draws), "Parameter")],
+    ignore_attr = TRUE
+  )
 
   # estimate_density
-  mfx <- marginaleffects::comparisons(mod, variables = "cyl",
-                                      newdata = data.frame(hp = 100, am = 0))
+  mfx <- marginaleffects::comparisons(mod,
+    variables = "cyl",
+    newdata = data.frame(hp = 100, am = 0)
+  )
   samps <- insight::get_parameters(mod)[c("cyl6", "cyl8")]
 
   res <- estimate_density(mfx)
   resref <- estimate_density(samps)
   expect_equal(res[intersect(colnames(res), colnames(resref))],
-               resref[intersect(colnames(res), colnames(resref))],
-               ignore_attr = TRUE)
-
+    resref[intersect(colnames(res), colnames(resref))],
+    ignore_attr = TRUE
+  )
 })
 
 test_that("emmGrid bayesfactors", {
@@ -60,14 +66,15 @@ test_that("emmGrid bayesfactors", {
 
   expect_true(all(c("term", "contrast") %in% colnames(outsi)))
   expect_equal(outsi[setdiff(colnames(outsi), c("term", "contrast"))],
-               outsiref[setdiff(colnames(outsiref), "Parameter")],
-               ignore_attr = TRUE)
+    outsiref[setdiff(colnames(outsiref), "Parameter")],
+    ignore_attr = TRUE
+  )
 
   # bayesfactor_parameters
   bfp <- bayesfactor_parameters(mfx, prior = mfxp, verbose = FALSE)
   bfpref <- bayesfactor_parameters(mfx_samps, prior = mfxp_samps, verbose = FALSE)
   expect_equal(bfp[setdiff(colnames(bfp), c("term", "contrast"))],
-               bfpref[setdiff(colnames(bfpref), "Parameter")],
-               ignore_attr = TRUE)
-
+    bfpref[setdiff(colnames(bfpref), "Parameter")],
+    ignore_attr = TRUE
+  )
 })