Man pages for markvdwiel/ShrinkBayes
Bayesian analysis of high-dimensional omics data, either Gaussian or counts

AllCompCreating a multiple comparison object for use in INLA
BaselineDefDefines the baseline level of factor variable.
BFDRBFDR computation, one-sided, two-sided and multiple...
BFUpdatePosteriorUpdates posteriors for testing nested models that differ by...
CAGEdata10000A data set with 10,000 rows containing normalized counts
CombinePosteriorsCombines posteriors from two models
CreateBlocksA function that creates blocks of consecutives row indices...
datsimA simulated data set with 1500 rows and 8 columns
design_brainDesign corresponding to the CAGE10000 data
designmirseqDesign corresponding to the mirseqnorm data
FastScreenPUsing p-values to screen and filter the data set
FitAllShrinkApplies INLA to multiple data rows using shrinkage priors.
FitInlaAllApplies INLA to multiple data rows
HTRNAiA data set with 960 rows and 6 samples containing normalized...
mirseqnormA miRseq data set with 2,060 rows containing normalized...
MixtureUpdatePosteriorUpdates posteriors from a given mixture prior
MixtureUpdatePriorReplacing a non-mixture prior by an optimal, symmetric...
NonParaUpdatePosteriorUpdates posteriors from a given nonparametric prior, which...
NonParaUpdatePriorReplacing a parametric prior by an optimal non-parametric one
plotPosterPlots posterior densities.
ReDefMissRedefines missing covariates.
ScreenDataFast p-value computation for simple 2-sample or K-sample...
ShrinkBayes-packageBayesian analysis of high-dimensional omics data, either...
ShrinkBayesWrapShrinkBayes wrapper
ShrinkGaussSimultaneous shrinkage by empirically estimating multiple...
ShrinkSeqSimultaneous shrinkage by empirically estimating multiple...
SpikeSlabPosteriorUpdates posteriors from a fit-object and a spike-and-slab...
SpikeSlabPriorEstimates the fraction of null-hypotheses using a...
SummaryTableConvenience function that produces a summary table
SummaryWrapConvenience function to compute either posterior...
markvdwiel/ShrinkBayes documentation built on March 27, 2022, 7:47 p.m.