diff --git a/man/model_parameters.averaging.Rd b/man/model_parameters.averaging.Rd
index 83efc4fc6..e15a8983d 100644
--- a/man/model_parameters.averaging.Rd
+++ b/man/model_parameters.averaging.Rd
@@ -1,21 +1,14 @@
 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/methods_aod.R, R/methods_averaging.R,
-%   R/methods_betareg.R, R/methods_bfsl.R, R/methods_car.R, R/methods_emmeans.R,
-%   R/methods_ggeffects.R, R/methods_glmm.R, R/methods_glmx.R, R/methods_lqmm.R,
+%   R/methods_betareg.R, R/methods_emmeans.R, R/methods_glmx.R,
 %   R/methods_marginaleffects.R, R/methods_metaplus.R, R/methods_mfx.R,
-%   R/methods_mjoint.R, R/methods_model_fit.R, R/methods_mvord.R,
-%   R/methods_plm.R, R/methods_selection.R
+%   R/methods_mjoint.R, R/methods_mvord.R, R/methods_selection.R
 \name{model_parameters.glimML}
 \alias{model_parameters.glimML}
 \alias{model_parameters.averaging}
 \alias{model_parameters.betareg}
-\alias{model_parameters.bfsl}
-\alias{model_parameters.deltaMethod}
 \alias{model_parameters.emm_list}
-\alias{model_parameters.ggeffects}
-\alias{model_parameters.glmm}
 \alias{model_parameters.glmx}
-\alias{model_parameters.lqmm}
 \alias{model_parameters.marginaleffects}
 \alias{model_parameters.metaplus}
 \alias{model_parameters.meta_random}
@@ -23,9 +16,7 @@
 \alias{model_parameters.betaor}
 \alias{model_parameters.betamfx}
 \alias{model_parameters.mjoint}
-\alias{model_parameters.model_fit}
 \alias{model_parameters.mvord}
-\alias{model_parameters.pgmm}
 \alias{model_parameters.selection}
 \title{Parameters from special models}
 \usage{
@@ -74,20 +65,6 @@
   ...
 )
 
-\method{model_parameters}{bfsl}(
-  model,
-  ci = 0.95,
-  ci_method = "residual",
-  p_adjust = NULL,
-  summary = getOption("parameters_summary", FALSE),
-  keep = NULL,
-  drop = NULL,
-  verbose = TRUE,
-  ...
-)
-
-\method{model_parameters}{deltaMethod}(model, p_adjust = NULL, verbose = TRUE, ...)
-
 \method{model_parameters}{emm_list}(
   model,
   ci = 0.95,
@@ -97,22 +74,6 @@
   ...
 )
 
-\method{model_parameters}{ggeffects}(model, keep = NULL, drop = NULL, verbose = TRUE, ...)
-
-\method{model_parameters}{glmm}(
-  model,
-  ci = 0.95,
-  effects = c("all", "fixed", "random"),
-  bootstrap = FALSE,
-  iterations = 1000,
-  standardize = NULL,
-  exponentiate = FALSE,
-  keep = NULL,
-  drop = NULL,
-  verbose = TRUE,
-  ...
-)
-
 \method{model_parameters}{glmx}(
   model,
   ci = 0.95,
@@ -128,16 +89,6 @@
   ...
 )
 
-\method{model_parameters}{lqmm}(
-  model,
-  ci = 0.95,
-  bootstrap = FALSE,
-  iterations = 1000,
-  p_adjust = NULL,
-  verbose = TRUE,
-  ...
-)
-
 \method{model_parameters}{marginaleffects}(model, ci = 0.95, exponentiate = FALSE, ...)
 
 \method{model_parameters}{metaplus}(
@@ -215,21 +166,6 @@
   ...
 )
 
-\method{model_parameters}{model_fit}(
-  model,
-  ci = 0.95,
-  effects = "fixed",
-  component = "conditional",
-  ci_method = "profile",
-  bootstrap = FALSE,
-  iterations = 1000,
-  standardize = NULL,
-  exponentiate = FALSE,
-  p_adjust = NULL,
-  verbose = TRUE,
-  ...
-)
-
 \method{model_parameters}{mvord}(
   model,
   ci = 0.95,
@@ -244,18 +180,6 @@
   ...
 )
 
-\method{model_parameters}{pgmm}(
-  model,
-  ci = 0.95,
-  component = c("conditional", "all"),
-  exponentiate = FALSE,
-  p_adjust = NULL,
-  keep = NULL,
-  drop = NULL,
-  verbose = TRUE,
-  ...
-)
-
 \method{model_parameters}{selection}(
   model,
   ci = 0.95,
@@ -358,6 +282,9 @@ names.}
 \code{bootstrap = TRUE}, arguments like \code{type} or \code{parallel} are
 passed down to \code{bootstrap_model()}.}
 
+\item{include_studies}{Logical, if \code{TRUE} (default), includes parameters
+for all studies. Else, only parameters for overall-effects are shown.}
+
 \item{ci_method}{Method for computing degrees of freedom for
 confidence intervals (CI) and the related p-values. Allowed are following
 options (which vary depending on the model class): \code{"residual"},
diff --git a/man/model_parameters.stanreg.Rd b/man/model_parameters.stanreg.Rd
index 7fe1b60a8..3980d2292 100644
--- a/man/model_parameters.stanreg.Rd
+++ b/man/model_parameters.stanreg.Rd
@@ -1,12 +1,10 @@
 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in R/methods_MCMCglmm.R, R/methods_base.R,
-%   R/methods_brms.R, R/methods_coda.R, R/methods_posterior.R,
-%   R/methods_rstan.R, R/methods_rstanarm.R
+%   R/methods_brms.R, R/methods_posterior.R, R/methods_rstanarm.R
 \name{model_parameters.MCMCglmm}
 \alias{model_parameters.MCMCglmm}
 \alias{model_parameters.data.frame}
 \alias{model_parameters.brmsfit}
-\alias{model_parameters.mcmc.list}
 \alias{model_parameters.draws}
 \alias{model_parameters.stanreg}
 \title{Parameters from Bayesian Models}
@@ -54,8 +52,6 @@
   ...
 )
 
-\method{model_parameters}{mcmc.list}(model, as_draws = FALSE, verbose = TRUE, ...)
-
 \method{model_parameters}{draws}(
   model,
   centrality = "median",