Implement random forest model method

man/random_forest.Rd

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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/method_random_forest.R
+\name{random_forest}
+\alias{random_forest}
+\title{Predict scores using a random forest.}
+\usage{
+random_forest(
+  id = "rforest",
+  name = "Random forest",
+  description = "Assessment by random forest",
+  seed = 180199,
+  n_models = NULL,
+  control_ratio = 0.75
+)
+}
+\arguments{
+\item{id}{Unique ID for the method and its results.}
+
+\item{name}{Human readable name for the method.}
+
+\item{description}{Method description.}
+
+\item{seed}{The seed will be used to make the results reproducible.}
+
+\item{n_models}{This number specifies how many sets of training data should
+be created. For each set, there will be a model trained on the remaining
+training data and validated using this set. For non-training genes, the
+final score will be the mean of the result of applying the different
+models. There should be at least two training sets. The analysis will only
+work, if there is at least one reference gene per training set. By default,
+one model per reference gene will be used.}
+
+\item{control_ratio}{The proportion of random control genes that is included
+in the training data sets in addition to the reference genes. This should
+be a numeric value between 0.0 and 1.0.}
+}
+\value{
+An object of class \code{geposan_method}.
+}
+\description{
+Predict scores using a random forest.
+}