diff --git a/R/machinelearning.R b/R/machinelearning.R
index 0b99761..f73f7f1 100644
--- a/R/machinelearning.R
+++ b/R/machinelearning.R
@@ -155,11 +155,10 @@ parametersEqual <- function(recipient, donor) {
 
 #' OrganiseCategoricalPredictors
 #'
-#' Organize information about categorical predictors in the model
+#' Organize information about categorical predictors in the model.
 #' @param input.model The machine learning model.
 #' @param all.combo.boxes The selection of predictor values.
 #' @export
-#' @noRd
 OrganiseCategoricalPredictors <- function(input.model, all.combo.boxes) {
     estimation.data.template <- input.model$estimation.data.template
     all.variable.names <- names(estimation.data.template)
@@ -219,7 +218,6 @@ OrganiseCategoricalPredictors <- function(input.model, all.combo.boxes) {
 #' @param is.numeric A logical value indicating if the outcome is numeric.
 #' @importFrom utils getS3method
 #' @export
-#' @noRd
 PredictOutcome <- function(input.model, DF, is.numeric) {
     vector.or.class <- if (is.numeric) "vector" else "class"
     is.cart <- inherits(input.model, "CART")
@@ -255,7 +253,6 @@ PredictOutcome <- function(input.model, DF, is.numeric) {
 #' @param DF The data frame containing the predictor values.
 #' @importFrom utils getS3method
 #' @export
-#' @noRd
 PredictProbabilities <- function(input.model, DF) {
     model.classes <- class(input.model)
     if ("SupportVectorMachine" %in% model.classes) {
diff --git a/man/OrganiseCategoricalPredictors.Rd b/man/OrganiseCategoricalPredictors.Rd
new file mode 100644
index 0000000..f9fe453
--- /dev/null
+++ b/man/OrganiseCategoricalPredictors.Rd
@@ -0,0 +1,16 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/machinelearning.R
+\name{OrganiseCategoricalPredictors}
+\alias{OrganiseCategoricalPredictors}
+\title{OrganiseCategoricalPredictors}
+\usage{
+OrganiseCategoricalPredictors(input.model, all.combo.boxes)
+}
+\arguments{
+\item{input.model}{The machine learning model.}
+
+\item{all.combo.boxes}{The selection of predictor values.}
+}
+\description{
+Organize information about categorical predictors in the model.
+}
diff --git a/man/PredictOutcome.Rd b/man/PredictOutcome.Rd
new file mode 100644
index 0000000..6cc45ec
--- /dev/null
+++ b/man/PredictOutcome.Rd
@@ -0,0 +1,18 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/machinelearning.R
+\name{PredictOutcome}
+\alias{PredictOutcome}
+\title{PredictOutcome}
+\usage{
+PredictOutcome(input.model, DF, is.numeric)
+}
+\arguments{
+\item{input.model}{The machine learning model.}
+
+\item{DF}{The data frame containing the predictor values.}
+
+\item{is.numeric}{A logical value indicating if the outcome is numeric.}
+}
+\description{
+Predict the outcome for a simulator for a machine learning model.
+}
diff --git a/man/PredictProbabilities.Rd b/man/PredictProbabilities.Rd
new file mode 100644
index 0000000..b61e946
--- /dev/null
+++ b/man/PredictProbabilities.Rd
@@ -0,0 +1,16 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/machinelearning.R
+\name{PredictProbabilities}
+\alias{PredictProbabilities}
+\title{PredictProbabilities}
+\usage{
+PredictProbabilities(input.model, DF)
+}
+\arguments{
+\item{input.model}{The machine learning model.}
+
+\item{DF}{The data frame containing the predictor values.}
+}
+\description{
+Predict the probabilities for a simulator for a machine learning model.
+}