Man pages for haimbar/SEMMS
Variable selection in Generalized Linear Models - an empirical Bayes approach

addInteractionsAdd interaction terms for each pair of putative variables
AR1SIMSimulated gene expression data
fitSEMMSRun the Generalized Alternating Maximization algorithm to fit...
GAMupdateGet an initial set of putative variables for the GAM...
initValsGet an initial set of putative variables for the GAM...
mds2DPerform 2D multidimensional scaling
NKI70NKI70 data
ozoneOzone data
plotFitDiagnostics plots - fitted vs observed, and fitted vs....
plotMDSPlot the fitted model found by SEMMS as a network.
printModelParamsPrint the SEMMS model parameter estimates and non-null...
readInputFileRead the input data and creating the data structures
runLinearModelRun the linear model using the selected variables
SimBinSimulated gene expression data with a binary response
haimbar/SEMMS documentation built on Dec. 20, 2021, 2:44 p.m.