slfm_list: Fitting the SLFM to a group of data matrices within a...
In jdanielnd/slfm: Tools for Fitting Sparse Latent Factor Model

Description Usage Arguments

This function is used to fit the Bayesian Sparse Latent Factor Model to all numeric matrices located in a directory.

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)

`path`	path to the directory where the target data matrices are located.
`recursive`	logical argument (default = TRUE) indicating whether the function should look recursively inside folders.
`a`	positive shape parameter of the Inverse Gamma prior distribution (default = 2.1).
`b`	positive scale parameter of the Inverse Gamma prior distribution (default = 1.1).
`gamma_a`	positive 1st shape parameter of the Beta prior distribution (default = 1).
`gamma_b`	positive 2nd shape parameter of the Beta prior distribution (default = 1).
`omega_0`	prior variance of the spike mixture component (default = 0.01).
`omega_1`	prior variance of the slab mixture component (default = 10).
`sample`	sample size to be considered for inference after the burn in period (default = 1000).
`burnin`	size of the burn in period in the MCMC algorithm (default = sample/4).
`lag`	lag to build the chains based on spaced draws from the Gibbs sampler (default = 1).
`degenerate`	logical argument (default = FALSE) indicating whether to use the degenerate version of the mixture prior for the factor loadings.