diff --git a/R/plot_coefs.R b/R/plot_coefs.R
index bd1dfaf..36295ee 100644
--- a/R/plot_coefs.R
+++ b/R/plot_coefs.R
@@ -9,7 +9,7 @@
 #' @import ggplot2
 #' @import bayesplot
 #' @param object An output from [walker()].
-#' @param level Level for intervals. Default is 0.05, leading to 90\% intervals.
+#' @param level Level for intervals. Default is 0.05, leading to 90% intervals.
 #' @param alpha Transparency level for [ggplot2::geom_ribbon()].
 #' @param transform Optional vectorized function for transforming the coefficients (for example `exp`).
 #' @param scales Should y-axis of the panels be `"fixed"` (default) or `"free"`?
diff --git a/R/plot_fit.R b/R/plot_fit.R
index 25881c8..5b612d4 100644
--- a/R/plot_fit.R
+++ b/R/plot_fit.R
@@ -1,7 +1,7 @@
 #' Plot the fitted values and sample quantiles for a walker object
 #' 
 #' @param object An output from [walker()] or [walker_glm()].
-#' @param level Level for intervals. Default is 0.05, leading to 90\% intervals.
+#' @param level Level for intervals. Default is 0.05, leading to 90% intervals.
 #' @param alpha Transparency level for [ggplot2::geom_ribbon()].
 #' @param ... Further arguments to [bayesplot::ppc_ribbon()].
 #' @export
@@ -18,4 +18,4 @@ plot_fit <- function(object, level = 0.05, alpha = 0.33, ...){
     x = as.numeric(time(object$y))[noNA], ...) + 
     theme(legend.position = "none") + 
     scale_x_continuous(name = "time")
-}
+}
\ No newline at end of file
diff --git a/R/plot_predict.R b/R/plot_predict.R
index 6a96a91..e6d6fdc 100644
--- a/R/plot_predict.R
+++ b/R/plot_predict.R
@@ -9,7 +9,7 @@
 #' @param draw_obs Either `"response"`, `"mean"`, or `"none"`, 
 #' where `"mean"` is response variable divided by number of trials or exposures 
 #' in case of binomial/poisson models. 
-#' @param level Level for intervals. Default is 0.05, leading to 90\% intervals.
+#' @param level Level for intervals. Default is 0.05, leading to 90% intervals.
 #' @param alpha Transparency level for [ggplot2::geom_ribbon()].
 #' @export
 #' @examples 
diff --git a/man/plot_coefs.Rd b/man/plot_coefs.Rd
index b69e8f6..79d7dd4 100644
--- a/man/plot_coefs.Rd
+++ b/man/plot_coefs.Rd
@@ -16,7 +16,7 @@ plot_coefs(
 \arguments{
 \item{object}{An output from \code{\link[=walker]{walker()}}.}
 
-\item{level}{Level for intervals. Default is 0.05, leading to 90\\% intervals.}
+\item{level}{Level for intervals. Default is 0.05, leading to 90\% intervals.}
 
 \item{alpha}{Transparency level for \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}}.}
 
diff --git a/man/plot_fit.Rd b/man/plot_fit.Rd
index f0527da..3d48d29 100644
--- a/man/plot_fit.Rd
+++ b/man/plot_fit.Rd
@@ -9,7 +9,7 @@ plot_fit(object, level = 0.05, alpha = 0.33, ...)
 \arguments{
 \item{object}{An output from \code{\link[=walker]{walker()}} or \code{\link[=walker_glm]{walker_glm()}}.}
 
-\item{level}{Level for intervals. Default is 0.05, leading to 90\\% intervals.}
+\item{level}{Level for intervals. Default is 0.05, leading to 90\% intervals.}
 
 \item{alpha}{Transparency level for \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}}.}
 
diff --git a/man/plot_predict.Rd b/man/plot_predict.Rd
index 6faf497..f2ac987 100644
--- a/man/plot_predict.Rd
+++ b/man/plot_predict.Rd
@@ -13,7 +13,7 @@ plot_predict(object, draw_obs = NULL, level = 0.05, alpha = 0.33)
 where \code{"mean"} is response variable divided by number of trials or exposures
 in case of binomial/poisson models.}
 
-\item{level}{Level for intervals. Default is 0.05, leading to 90\\% intervals.}
+\item{level}{Level for intervals. Default is 0.05, leading to 90\% intervals.}
 
 \item{alpha}{Transparency level for \code{\link[ggplot2:geom_ribbon]{ggplot2::geom_ribbon()}}.}
 }