diff --git a/DESCRIPTION b/DESCRIPTION
index 2514c1800..f6a55d14d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: parameters
 Title: Processing of Model Parameters
-Version: 0.23.0.12
+Version: 0.24.0
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",
@@ -80,7 +80,7 @@ Depends:
 Imports:
     bayestestR (>= 0.15.0),
     datawizard (>= 0.13.0),
-    insight (>= 0.20.5),
+    insight (>= 1.0.0),
     graphics,
     methods,
     stats,
@@ -155,7 +155,7 @@ Suggests:
     logspline,
     lqmm,
     M3C,
-    marginaleffects (>= 0.20.1),
+    marginaleffects (>= 0.20.4),
     MASS,
     Matrix,
     mclogit,
@@ -224,4 +224,3 @@ Config/testthat/edition: 3
 Config/testthat/parallel: true
 Config/Needs/website: easystats/easystatstemplate
 Config/rcmdcheck/ignore-inconsequential-notes: true
-Remotes: easystats/insight
diff --git a/R/1_model_parameters.R b/R/1_model_parameters.R
index 15f5020e1..41c0d073e 100644
--- a/R/1_model_parameters.R
+++ b/R/1_model_parameters.R
@@ -13,7 +13,7 @@
 #'   **scam**, **VGAM**, `Gam` (although the output of `Gam` is more Anova-alike),
 #'   `gamm`, ...
 #' - [ANOVA][model_parameters.aov()]: **afex**, `aov`, `anova`, `Gam`, ...
-#' - [Bayesian][model_parameters.stanreg()]: **BayesFactor**, **blavaan**, **brms**,
+#' - [Bayesian][model_parameters.brmsfit()]: **BayesFactor**, **blavaan**, **brms**,
 #'   **MCMCglmm**, **posterior**, **rstanarm**, `bayesQR`, `bcplm`, `BGGM`, `blmrm`,
 #'   `blrm`, `mcmc.list`, `MCMCglmm`, ...
 #' - [Clustering][model_parameters.hclust()]: **hclust**, **kmeans**, **mclust**, **pam**, ...
@@ -426,10 +426,9 @@ parameters <- model_parameters
 #'
 #' @param model Model object.
 #' @param ci Confidence Interval (CI) level. Default to `0.95` (`95%`).
-#' @param bootstrap Should estimates be based on bootstrapped model? If
-#'   `TRUE`, then arguments of [Bayesian
-#'   regressions][model_parameters.stanreg] apply (see also
-#'   [`bootstrap_parameters()`]).
+#' @param bootstrap Should estimates be based on bootstrapped model? If `TRUE`,
+#'   then arguments of [Bayesian regressions][model_parameters.brmsfit] apply
+#'   (see also [`bootstrap_parameters()`]).
 #' @param iterations The number of bootstrap replicates. This only apply in the
 #'   case of bootstrapped frequentist models.
 #' @param standardize The method used for standardizing the parameters. Can be
diff --git a/man/model_parameters.Rd b/man/model_parameters.Rd
index 387a1b29c..e63b27c28 100644
--- a/man/model_parameters.Rd
+++ b/man/model_parameters.Rd
@@ -43,7 +43,7 @@ the model-specific documentation:
 \strong{scam}, \strong{VGAM}, \code{Gam} (although the output of \code{Gam} is more Anova-alike),
 \code{gamm}, ...
 \item \link[=model_parameters.aov]{ANOVA}: \strong{afex}, \code{aov}, \code{anova}, \code{Gam}, ...
-\item \link[=model_parameters.stanreg]{Bayesian}: \strong{BayesFactor}, \strong{blavaan}, \strong{brms},
+\item \link[=model_parameters.brmsfit]{Bayesian}: \strong{BayesFactor}, \strong{blavaan}, \strong{brms},
 \strong{MCMCglmm}, \strong{posterior}, \strong{rstanarm}, \code{bayesQR}, \code{bcplm}, \code{BGGM}, \code{blmrm},
 \code{blrm}, \code{mcmc.list}, \code{MCMCglmm}, ...
 \item \link[=model_parameters.hclust]{Clustering}: \strong{hclust}, \strong{kmeans}, \strong{mclust}, \strong{pam}, ...
diff --git a/man/model_parameters.cgam.Rd b/man/model_parameters.cgam.Rd
index d444ecba8..e6c570c8e 100644
--- a/man/model_parameters.cgam.Rd
+++ b/man/model_parameters.cgam.Rd
@@ -34,9 +34,9 @@ options (which vary depending on the model class): \code{"residual"},
 \code{\link[=model_parameters]{model_parameters()}} for further details. When \code{ci_method=NULL}, in most
 cases \code{"wald"} is used then.}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}
diff --git a/man/model_parameters.default.Rd b/man/model_parameters.default.Rd
index 25c595b89..df3d7d934 100644
--- a/man/model_parameters.default.Rd
+++ b/man/model_parameters.default.Rd
@@ -38,9 +38,9 @@ options (which vary depending on the model class): \code{"residual"},
 \code{\link[=model_parameters]{model_parameters()}} for further details. When \code{ci_method=NULL}, in most
 cases \code{"wald"} is used then.}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}
diff --git a/man/model_parameters.glimML.Rd b/man/model_parameters.glimML.Rd
index c5d9c5266..55a3c3e31 100644
--- a/man/model_parameters.glimML.Rd
+++ b/man/model_parameters.glimML.Rd
@@ -26,9 +26,9 @@
 
 \item{ci}{Confidence Interval (CI) level. Default to \code{0.95} (\verb{95\%}).}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}
diff --git a/man/model_parameters.glmmTMB.Rd b/man/model_parameters.glmmTMB.Rd
index ab7482d5d..6f27c63db 100644
--- a/man/model_parameters.glmmTMB.Rd
+++ b/man/model_parameters.glmmTMB.Rd
@@ -53,9 +53,9 @@ computed by default, for simpler models or fewer observations, confidence
 intervals will be included. Set explicitly to \code{TRUE} or \code{FALSE} to enforce
 or omit calculation of confidence intervals.}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}
diff --git a/man/model_parameters.mlm.Rd b/man/model_parameters.mlm.Rd
index 2f7f7ec28..eb786f2bc 100644
--- a/man/model_parameters.mlm.Rd
+++ b/man/model_parameters.mlm.Rd
@@ -54,9 +54,9 @@ arguments. If no estimation type (argument \code{type}) is given, the default
 type for \code{"HC"} equals the default from the \strong{sandwich} package; for type
 \code{"CR"}, the default is set to \code{"CR3"}.}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}
diff --git a/man/model_parameters.rma.Rd b/man/model_parameters.rma.Rd
index 095a100a0..a24728649 100644
--- a/man/model_parameters.rma.Rd
+++ b/man/model_parameters.rma.Rd
@@ -23,9 +23,9 @@
 
 \item{ci}{Confidence Interval (CI) level. Default to \code{0.95} (\verb{95\%}).}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}
diff --git a/man/model_parameters.zcpglm.Rd b/man/model_parameters.zcpglm.Rd
index d46fe2b74..6b9eddfc9 100644
--- a/man/model_parameters.zcpglm.Rd
+++ b/man/model_parameters.zcpglm.Rd
@@ -26,9 +26,9 @@
 
 \item{ci}{Confidence Interval (CI) level. Default to \code{0.95} (\verb{95\%}).}
 
-\item{bootstrap}{Should estimates be based on bootstrapped model? If
-\code{TRUE}, then arguments of \link[=model_parameters.stanreg]{Bayesian regressions} apply (see also
-\code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
+\item{bootstrap}{Should estimates be based on bootstrapped model? If \code{TRUE},
+then arguments of \link[=model_parameters.brmsfit]{Bayesian regressions} apply
+(see also \code{\link[=bootstrap_parameters]{bootstrap_parameters()}}).}
 
 \item{iterations}{The number of bootstrap replicates. This only apply in the
 case of bootstrapped frequentist models.}