tab1: Simulates Supcluster Function

In supcluster: Supervised Cluster Analysis

Simulates Supcluster Function

Description

Produces summary statistics from a simulation of supcluster

Usage

tab1(ratio=4,reps=100,n=1000,start=500,fbeta=FALSE,
               maxclusters=5,chains=1,clusts=c(15,15,20),
               sig=1,gamma=1,npats=80,beta=seq(-5,5,5),
               plot=FALSE)

Arguments

ratio	The ratio of tau to sigma
reps	The number of runs
n	The number of MCMC iterations
start	The first MCMC iteration used
fbeta	If TRUE the outcome is not used
maxclusters	The maximum number of clusters for the estimation step
chains	The number of chains to run
clusts	A list of the number of genes in each cluster
sig,gamma,beta	The parameters sigma,gamma,beta
npats	The number of experimental units(patients)
plot	Plots the first run

Value

A data frame is returned with the mean parameter value, it's standard error and the mean of it's standard error calculated from the MCMC

Author(s)

David A. Schoenfeld, Jessie Hsu

See Also

supcluster,,compare.chains,concordmap

Examples

#very few iterations done so that this runs in less than 5 seconds.
#You need to change reps=100,start=2000,n=3000 to get enough iterations
tab1(ratio=2,reps=5,n=10,start=1,maxclusters=5)

supcluster documentation built on May 20, 2022, 1:07 a.m.