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slfm (version 0.2.1)

slfm_list: Fit SLFM to the matrices inside a directory

Description

This function is used to fit a Bayesian sparse latent factor model to a directory of numeric matrices.

Usage

slfm_list(path = ".", recursive = TRUE, a = 2.1, b = 1.1, gamma_a = 1,
  gamma_b = 1, omega_0 = 0.01, omega_1 = 10, sample = 1000,
  burnin = round(0.25 * sample), lag = 1, degenerate = FALSE)

Arguments

path
path to read the matrices from
recursive
if the function should look recursively inside folders
a
prior shape parameter for Gamma distribution
b
prior scale parameter for Gamma distribution
gamma_a
prior parameter for Beta distribution
gamma_b
prior parameter for Beta distribution
omega_0
prior variance of the spike component
omega_1
prior variance of the slab component
sample
sample size after burn-in
burnin
burn-in size
lag
lag for MCMC
degenerate
use the degenerate version of mixture