Fix #639

easystats · May 24, 2024 · 7b59cae · 7b59cae
1 parent 43c6d0c
commit 7b59cae
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Showing 3 changed files with 5 additions and 5 deletions.
diff --git a/R/convert_between_riskchange.R b/R/convert_between_riskchange.R
@@ -69,7 +69,7 @@ oddsratio_to_riskratio.default <- function(OR, p0, log = FALSE, verbose = TRUE,
     insight::format_error("Model must be a binomial model with a logit-link (logistic regression).")
   }
 
-  RR <- parameters::model_parameters(OR, exponentiate = !log, effects = "fixed", ...)
+  RR <- parameters::model_parameters(OR, exponentiate = !log, effectsize_type = "fixed", ...)
   RR$SE <- NULL
   RR$z <- NULL
   RR$df_error <- NULL

diff --git a/R/eta_squared-main.R b/R/eta_squared-main.R
@@ -833,7 +833,7 @@ cohens_f_squared <- function(model,
       include_intercept = include_intercept
     )
 
-  attr(out, "anova_type") <- tryCatch(attr(parameters::model_parameters(model, verbose = FALSE, effects = "fixed"), "anova_type"),
+  attr(out, "anova_type") <- tryCatch(attr(parameters::model_parameters(model, verbose = FALSE, effectsize_type = "fixed"), "anova_type"),
     error = function(...) 1
   )
   attr(out, "approximate") <- TRUE
@@ -864,7 +864,7 @@ cohens_f_squared <- function(model,
 
   # TODO this should be in .anova_es.anvoa
   # TODO the aoc method should convert to an anova table, then pass to anova
-  params <- parameters::model_parameters(model, verbose = verbose, effects = "fixed")
+  params <- parameters::model_parameters(model, verbose = verbose, effectsize_type = "fixed")
   out <- .es_aov_simple(as.data.frame(params),
     type = type,
     partial = partial, generalized = generalized,
@@ -890,7 +890,7 @@ cohens_f_squared <- function(model,
                               verbose = TRUE,
                               include_intercept = FALSE,
                               ...) {
-  params <- parameters::model_parameters(model, verbose = verbose, effects = "fixed")
+  params <- parameters::model_parameters(model, verbose = verbose, effectsize_type = "fixed")
   anova_type <- attr(params, "anova_type")
   params <- as.data.frame(params)
 

diff --git a/R/eta_squared-methods.R b/R/eta_squared-methods.R
@@ -255,7 +255,7 @@
                            ci = 0.95, alternative = "greater",
                            verbose = TRUE,
                            ...) {
-  params <- parameters::model_parameters(model, verbose = verbose, effects = "fixed")
+  params <- parameters::model_parameters(model, verbose = verbose, effectsize_type = "fixed")
   anova_type <- attr(params, "anova_type")
 
   params <- split(params, factor(params$Response, levels = unique(params$Response))) # make sure row order is not changed