ebpmf: Empirical Bayes Poisson Matrix Factorization

In stephenslab/ebpmf.alpha:

Description

Empirical Bayes Poisson Matrix Factorization

Usage

ebpmf(
  X,
  K,
  pm_func = ebpm::ebpm_point_gamma,
  init = list(qg = NULL, init_method = "scd", init_iter = 20),
  pm_control = NULL,
  fix_option = list(gl = FALSE, ql = FALSE, gf = FALSE, qf = FALSE),
  maxiter = 100,
  tol = 1e-08,
  verbose = FALSE
)

Arguments

X	count matrix (dim(X) = c(n, p)).
pm_func	function for solving the ebpm subproblem; can be ebpm_point_gamma, ebpm_two_gamma, ebpm_exponential_mixture, ebpm_gamma_mixture_single_scale
init	list(qg, init_method, init_iter)
pm_control	control parameters for pm_func function
maxiter	maximum number of iterations
tol	stopping tolerance for ELBO
verbose	print progress if set TRUE
k	number of topics
fix_g	list(l, f) where l, f are either TRUE or FALSE

Value

A list containing elements:

ql

approximate posterior for l

gl

fitted g for l

kl_l

kl divergence between q and g for l

qf

approximate posterior for f

gf

fitted g for f

kl_f

kl divergence between q and g for f

Examples

To add

stephenslab/ebpmf.alpha documentation built on Nov. 20, 2021, 11:57 a.m.