From 0814fd931287081499c0e0c30df9f5738d1fd849 Mon Sep 17 00:00:00 2001
From: Josh Sumner <51797700+joshqsumner@users.noreply.github.com>
Date: Thu, 18 Dec 2025 13:13:04 -0600
Subject: [PATCH] fixing how docs work with rdname

---
 R/stat_brms_model.R  | 19 -------------------
 R/stat_nlme_model.R  | 18 ------------------
 R/stat_nlrq_model.R  | 18 ------------------
 R/stat_nls_model.R   | 17 -----------------
 man/stat_growthss.Rd | 25 +++++++------------------
 5 files changed, 7 insertions(+), 90 deletions(-)

diff --git a/R/stat_brms_model.R b/R/stat_brms_model.R
index 0ab7ffd1..d36113d8 100644
--- a/R/stat_brms_model.R
+++ b/R/stat_brms_model.R
@@ -1,22 +1,3 @@
-#' Show brms model in ggplot layer
-#'
-#' @description
-#' Add posterior predictive distribution from a brms model fit with \link{growthSS} and \link{fitGrowth}
-#' to a ggplot object.
-#'
-#' @param mapping Set of aesthetic mappings created by \code{ggplot2::aes()}. If specified
-#' and ‘inherit.aes = TRUE’ (the default), it is combined with the default mapping at the
-#' top level of the plot. If there is no mapping then it is filled in by default using
-#' the \code{ss} object.
-#' @param data The data to be displayed in this layer. This behaves per normal ggplot2
-#' expectations except that if data is missing (ie, not inherited or specified) then the
-#' data from \code{ss} is used.
-#' @param fit A brmsfit object, typically returned from \code{fitGrowth}.
-#' @param ss A \code{pcvrss} object. Only the "pcvrForm" and "df" elements are used.
-#' @param CI A vector of Credible Intervals to plot, defaults to 0.95.
-#' @param inherit.aes Logical, should aesthetics be inherited from top level? Defaults to TRUE.
-#' @param ... Additional arguments passed to ggplot2::layer.
-#'
 #' @import ggplot2
 #' @rdname stat_growthss
 #' @keywords ggplot
diff --git a/R/stat_nlme_model.R b/R/stat_nlme_model.R
index 6ec81c93..a84f941a 100644
--- a/R/stat_nlme_model.R
+++ b/R/stat_nlme_model.R
@@ -1,21 +1,3 @@
-#' Show nlme/lme model in ggplot layer
-#'
-#' @description
-#' Add predicted mean trendline from a nlme/lme model fit with \link{growthSS} and \link{fitGrowth}
-#' to a ggplot object.
-#'
-#' @param mapping Set of aesthetic mappings created by \code{ggplot2::aes()}.
-#' If specified and ‘inherit.aes = TRUE’ (the default),
-#' it is combined with the default mapping at the top level of the plot.
-#' If there is no mapping then it is filled in by default using the \code{ss} object.
-#' @param data The data to be displayed in this layer.
-#' This behaves per normal ggplot2 expectations except
-#' that if data is missing (ie, not inherited or specified) then the data from \code{ss} is used.
-#' @param fit A nlme/lme object, typically returned from \code{fitGrowth}.
-#' @param ss A \code{pcvrss} object. Only the "pcvrForm" and "df" elements are used.
-#' @param inherit.aes Logical, should aesthetics be inherited from top level? Defaults to TRUE.
-#' @param ... Additional arguments passed to ggplot2::layer.
-#'
 #' @import ggplot2
 #' @rdname stat_growthss
 #' @keywords ggplot
diff --git a/R/stat_nlrq_model.R b/R/stat_nlrq_model.R
index b6b03505..f1237c31 100644
--- a/R/stat_nlrq_model.R
+++ b/R/stat_nlrq_model.R
@@ -1,21 +1,3 @@
-#' Show nls/lm model in ggplot layer
-#'
-#' @description
-#' Add predicted mean trendline from a model fit with \link{growthSS} and \link{fitGrowth}
-#' to a ggplot object.
-#'
-#' @param mapping Set of aesthetic mappings created by \code{ggplot2::aes()}. If specified
-#' and ‘inherit.aes = TRUE’ (the default),
-#' it is combined with the default mapping at the top level of the plot.
-#' If there is no mapping then it is filled in by default using the \code{ss} object.
-#' @param data The data to be displayed in this layer.
-#' This behaves per normal ggplot2 expectations except
-#' that if data is missing (ie, not inherited or specified) then the data from \code{ss} is used.
-#' @param fit A brmsfit object, typically returned from \code{fitGrowth}.
-#' @param ss A \code{pcvrss} object. Only the "pcvrForm" and "df" elements are used.
-#' @param inherit.aes Logical, should aesthetics be inherited from top level? Defaults to TRUE.
-#' @param ... Additional arguments passed to ggplot2::layer.
-#'
 #' @import ggplot2
 #' @rdname stat_growthss
 #' @keywords ggplot
diff --git a/R/stat_nls_model.R b/R/stat_nls_model.R
index 78aaf50a..a1d797dc 100644
--- a/R/stat_nls_model.R
+++ b/R/stat_nls_model.R
@@ -1,20 +1,3 @@
-#' Show nls/lm model in ggplot layer
-#'
-#' @description
-#' Add predicted mean trendline from a model fit with \link{growthSS} and \link{fitGrowth}
-#' to a ggplot object.
-#'
-#' @param mapping Set of aesthetic mappings created by \code{ggplot2::aes()}.
-#' If specified and ‘inherit.aes = TRUE’ (the default),
-#' it is combined with the default mapping at the top level of the plot.
-#' If there is no mapping then it is filled in by default using the \code{ss} object.
-#' @param data The data to be displayed in this layer. This behaves per normal ggplot2 expectations
-#' except that if data is missing (ie, not inherited or specified) then the data from \code{ss} is used.
-#' @param fit A brmsfit object, typically returned from \code{fitGrowth}.
-#' @param ss A \code{pcvrss} object. Only the "pcvrForm" and "df" elements are used.
-#' @param inherit.aes Logical, should aesthetics be inherited from top level? Defaults to TRUE.
-#' @param ... Additional arguments passed to ggplot2::layer.
-#'
 #' @import ggplot2
 #' @rdname stat_growthss
 #' @keywords ggplot
diff --git a/man/stat_growthss.Rd b/man/stat_growthss.Rd
index bfec8124..528ca468 100644
--- a/man/stat_growthss.Rd
+++ b/man/stat_growthss.Rd
@@ -8,7 +8,7 @@
 \alias{stat_lme_model}
 \alias{stat_nlrq_model}
 \alias{stat_nls_model}
-\title{Show brms model in ggplot layer}
+\title{Show a model fit with pcvr in a ggplot layer}
 \usage{
 stat_brms_model(
   mapping = NULL,
@@ -69,12 +69,13 @@ stat_nls_model(
 \item{mapping}{Set of aesthetic mappings created by \code{ggplot2::aes()}.
 If specified and ‘inherit.aes = TRUE’ (the default),
 it is combined with the default mapping at the top level of the plot.
-If there is no mapping then it is filled in by default using the \code{ss} object.}
+If there is no mapping then it is filled in by default using the \code{pcvrss} object.}
 
-\item{data}{The data to be displayed in this layer. This behaves per normal ggplot2 expectations
-except that if data is missing (ie, not inherited or specified) then the data from \code{ss} is used.}
+\item{data}{The data to be displayed in this layer.
+This behaves per normal ggplot2 expectations except
+that if data is missing (ie, not inherited or specified) then the data from \code{ss} is used.}
 
-\item{fit}{A brmsfit object, typically returned from \code{fitGrowth}.}
+\item{fit}{A model object returned from \code{fitGrowth}.}
 
 \item{ss}{A \code{pcvrss} object. Only the "pcvrForm" and "df" elements are used.}
 
@@ -82,23 +83,11 @@ except that if data is missing (ie, not inherited or specified) then the data fr
 
 \item{inherit.aes}{Logical, should aesthetics be inherited from top level? Defaults to TRUE.}
 
-\item{...}{Additional arguments passed to ggplot2::layer.}
+\item{...}{Additional arguments passed to the ggplot layer.}
 }
 \description{
-Add posterior predictive distribution from a brms model fit with \link{growthSS} and \link{fitGrowth}
-to a ggplot object.
-
 Add a model fit with \link{growthSS} and \link{fitGrowth} to a ggplot object.
 The exact geom used depends on the model class (see details).
-
-Add predicted mean trendline from a nlme/lme model fit with \link{growthSS} and \link{fitGrowth}
-to a ggplot object.
-
-Add predicted mean trendline from a model fit with \link{growthSS} and \link{fitGrowth}
-to a ggplot object.
-
-Add predicted mean trendline from a model fit with \link{growthSS} and \link{fitGrowth}
-to a ggplot object.
 }
 \details{
 These layers will behave largely like output from \code{\link{growthPlot}}, although \code{growthPlot}