diff --git a/R/plots-standard_curve.R b/R/plots-standard_curve.R
index f38996a..9684432 100644
--- a/R/plots-standard_curve.R
+++ b/R/plots-standard_curve.R
@@ -291,6 +291,11 @@ plot_standard_curve_thumbnail <- function(plate, analyte_name, data_type = "Medi
 #' levey-jennings report in mind, but it can be run by itself.
 #'
 #' @param list_of_plates list of Plate objects
+#' @param analyte_name Name of the analyte of which standard curves we want to plot.
+#' @param data_type Data type of the value we want to plot - the same datatype as in the plate file. By default equals to `Median`
+#' @param decreasing_dilution_order If `TRUE` the dilution values are plotted in decreasing order, `TRUE` by default
+#' @param log_scale Which elements on the plot should be displayed in log scale. By default `"all"`. If `NULL` or `c()` no log scale is used, if `"all"` or `c("dilutions", "MFI")` all elements are displayed in log scale.
+#' @param verbose If `TRUE` prints messages, `TRUE` by default
 #'
 #' @return ggplot object with the plot
 #'
diff --git a/man/Model.Rd b/man/Model.Rd
index a8218c0..c9a93a1 100644
--- a/man/Model.Rd
+++ b/man/Model.Rd
@@ -154,7 +154,7 @@ Use values before any transformations (e.g., before the \code{log10} transformat
 \subsection{Method \code{predict()}}{
 Predict RAU values from the MFI values
 \subsection{Usage}{
-\if{html}{\out{<div class="r">}}\preformatted{Model$predict(mfi, over_max_extrapolation = 0, eps = 1e-06)}\if{html}{\out{</div>}}
+\if{html}{\out{<div class="r">}}\preformatted{Model$predict(mfi, over_max_extrapolation = 0, eps = 0.000001)}\if{html}{\out{</div>}}
 }
 
 \subsection{Arguments}{
diff --git a/man/plot_standard_curve_stacked.Rd b/man/plot_standard_curve_stacked.Rd
index 15693fc..b42ee84 100644
--- a/man/plot_standard_curve_stacked.Rd
+++ b/man/plot_standard_curve_stacked.Rd
@@ -4,15 +4,33 @@
 \alias{plot_standard_curve_stacked}
 \title{Standard curve stacked plot for levey-jennings report}
 \usage{
-plot_standard_curve_stacked(plate)
+plot_standard_curve_stacked(
+  list_of_plates,
+  analyte_name,
+  data_type = "Median",
+  decreasing_dilution_order = TRUE,
+  log_scale = c("all"),
+  verbose = TRUE
+)
 }
 \arguments{
-\item{plate}{Plate object}
+\item{list_of_plates}{list of Plate objects}
+
+\item{analyte_name}{Name of the analyte of which standard curves we want to plot.}
+
+\item{data_type}{Data type of the value we want to plot - the same datatype as in the plate file. By default equals to \code{Median}}
+
+\item{decreasing_dilution_order}{If \code{TRUE} the dilution values are plotted in decreasing order, \code{TRUE} by default}
+
+\item{log_scale}{Which elements on the plot should be displayed in log scale. By default \code{"all"}. If \code{NULL} or \code{c()} no log scale is used, if \code{"all"} or \code{c("dilutions", "MFI")} all elements are displayed in log scale.}
+
+\item{verbose}{If \code{TRUE} prints messages, \code{TRUE} by default}
 }
 \value{
 ggplot object with the plot
 }
 \description{
-Function generates a plot of stacked on top of each other standard curves for a given plate.
-The plot is created with the levey-jennings report in mind. But it can be run by itself.
+Function generates a plot of stacked on top of each other standard curves
+for a given analyte form a list of plates. The plot is created with the
+levey-jennings report in mind, but it can be run by itself.
 }