Fix standardize_info(<fixest>)

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: parameters
 Title: Processing of Model Parameters
-Version: 0.28.2.9
+Version: 0.28.2.10
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",

NEWS.md

@@ -1,5 +1,8 @@
 # parameters (devel)
 
+* fixed bug in `standardize_info(<fixest>)` that was preventing 
+  `standardise_parameters()` from working for `fixest` models.
+
 * `equivalence_test()` gets methods for objects from the *modelbased* package.
 
 * Improved support for objects from package *survey*.

R/standardize_info.R

@@ -50,7 +50,6 @@ standardize_info.default <- function(model,
     insight::find_parameters(model, effects = "fixed", flatten = TRUE, ...)
   }
   types <- parameters_type(model)
-  # model_matrix <- as.data.frame(stats::model.matrix(model))
   model_matrix <- as.data.frame(insight::get_modelmatrix(model))
   model_data <- insight::get_data(model, source = "mf", verbose = FALSE)
   wgts <- insight::get_weights(model, remove_na = TRUE)
@@ -323,9 +322,12 @@ standardize_info.default <- function(model,
   if (info$is_linear) {
     if (inherits(model, c("gls", "lme"))) {
       response <- insight::get_response(model)
+    } else if (inherits(model, "fixest")) {
+      response <- model.matrix(model, type = "lhs")
     } else {
       response <- stats::model.frame(model)[[1]]
     }
+
     means <- deviations <- rep(NA_real_, length = length(names(model_matrix)))
     for (i in seq_along(names(model_matrix))) {
       variable <- names(model_matrix)[i]
@@ -367,6 +369,8 @@ standardize_info.default <- function(model,
 .std_info_response_basic <- function(model, info, params, robust = FALSE, w = NULL, ...) {
   if (inherits(model, c("gls", "lme"))) {
     response <- insight::get_response(model)
+  } else if (inherits(model, "fixest")) {
+    response <- model.matrix(model, type = "lhs")
   } else {
     response <- stats::model.frame(model)[[1]]
   }

tests/testthat/test-standardize_parameters.R

@@ -178,23 +178,22 @@
   m1 <- lm(Y ~ X * Z)
   m2 <- lm(Y ~ X * scale(Z))
   m3 <- lm(Y ~ scale(X) * Z)
-  m4 <- lm(Y ~ scale(X) * scale(Z))
+  m4 <- lm(scale(Y) ~ scale(X) + scale(Z) + scale(scale(X) * scale(Z))) # ground truth
 
   expect_equal(
     standardize_parameters(m1, method = "basic")$Std_Coefficient,
+    model_parameters(m4)$Coefficient,
+    ignore_attr = TRUE
+  )
+  expect_equal(
     standardize_parameters(m2, method = "basic")$Std_Coefficient,
+    model_parameters(m4)$Coefficient,
     ignore_attr = TRUE
   )
   expect_equal(
-    standardize_parameters(m1, method = "basic")$Std_Coefficient,
     standardize_parameters(m3, method = "basic")$Std_Coefficient,
-    ignore_attr = TRUE
+    model_parameters(m4)$Coefficient
   )
-  # expect_equal(
-  #   standardize_parameters(m1, method = "basic")$Std_Coefficient,
-  #   standardize_parameters(m4, method = "basic")$Std_Coefficient
-  # )
-
 
   # transformed resp or pred should not affect
   mtcars$cyl_exp <- exp(mtcars$cyl)