--- a
+++ b/man/getLRAcluster.Rd
@@ -0,0 +1,42 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/getLRAcluster.R
+\name{getLRAcluster}
+\alias{getLRAcluster}
+\title{Get subtypes from LRAcluster}
+\usage{
+getLRAcluster(
+  data = NULL,
+  N.clust = NULL,
+  type = rep("gaussian", length(data)),
+  clusterAlg = "ward.D"
+)
+}
+\arguments{
+\item{data}{List of matrices.}
+
+\item{N.clust}{Number of clusters.}
+
+\item{type}{Data type corresponding to the list of matrics, which can be gaussian, binomial or possion; 'gaussian' by default.}
+
+\item{clusterAlg}{A string value to indicate the cluster algorithm for similarity matrix; 'ward.D' by default.}
+}
+\value{
+A list with the following components:
+
+        \code{fit}        an object returned by \link[LRAcluster]{LRAcluster}.
+
+        \code{clust.res}  a data.frame storing sample ID and corresponding clusters.
+
+        \code{clust.dend} a dendrogram of sample clustering.
+
+        \code{mo.method}  a string value indicating the method used for multi-omics integrative clustering.
+}
+\description{
+This function wraps the LRAcluster (Integrated cancer omics data anlsysi by low rank approximation) algorithm and provides standard output for `getMoHeatmap()` and `getConsensusMOIC()`.
+}
+\examples{
+# There is no example and please refer to vignette.
+}
+\references{
+Wu D, Wang D, Zhang MQ, Gu J (2015). Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification. BMC Genomics, 16(1):1022.
+}