bfrm-methods: Bayesian Factor Regression Modeling (bfrm)
In Sage-Bionetworks/bfrm: Bayesian Factor Regression Modelling (bfrm)

Runs an executable program released by West et al and available here (). Writes out temporary files, passes them to an executable, and reads summary files back into R. Temporary files are discarded once the R session is terminated unless specified otherwise.

signature(data = "matrix", ...)
data: numeric matrix with one row per predictor and one column per observation / sample / patient to be passed to the bfrm algorithm
...: optional arguments, including:
design: design argument(s) to be passed to the bfrm algorithm
control: control argument(s) to be passed to the bfrm algorithm (i.e. "assay artifact" variables)
burnin: number of burn-in iterations in the MCMC – default is 2000
nmcsamples: number of MCMC iterations – default is 5000
outputDir: directory for output text files to be stored - default is withing a temporary directory which will be deleted once the R session is terminated.
other: named arguments overwriting of defaults specified in the slots of class bfrmParam - only for advanced users.