SimBin: Simulated gene expression data with a binary response

In haimbar/SEMMS: Variable selection in Generalized Linear Models - an empirical Bayes approach

Description

SimBin is a simulated dataset with an autoregressive structure. The true predictors are Z1-Z5 and Z101-Z105. Z1-Z5 have an AR(1) structure with rho=0.95, and so do Z101-Z105.

Format

A 1001 by 120 matrix.

Examples

## Not run: 
fn <- system.file("extdata", "SimBin.RData", package = "SEMMS", mustWork = TRUE)
dataYXZ <- readInputFile(fn, ycol=1, Zcols=2:1001)
fittedSEMMS <- fitSEMMS(dataYXZ, mincor=0.7, nn=5, minchange  = 1,
     distribution="B", verbose=T, rnd=F)
fittedGLM <- runLinearModel(dataYXZ,fittedSEMMS$gam.out$nn, "B")
plotMDS(dataYXZ, fittedSEMMS, fittedGLM, ttl="Simulated Binomial (AR1)")
## End(Not run)

haimbar/SEMMS documentation built on Dec. 20, 2021, 2:44 p.m.