process_results: Process results from mmBPFA sampling run

In EandrewJones/mmBPFA: Multi-Modal Beta-Process Factor Analysis

Description

process_results ingests raw results from mmBPFA_sampler and returns processed estimates of posterior quantities of interest.

Usage

process_results(mcmc_object, SE = T, p = c(0.05, 0.95), to_tibble = T)

Arguments

mcmc_object	An S3 object of class bpfa.results from mmBPFA sampling run.
SE	A boolean indicating whether to calculate standard error credibility intervals around posterior estimates.
p	a vector indicating the lower and upper probability bounds for the credibility intervals. Default is c(0.05, 0.95).
to_tibble	A boolean indicating whether to convert output to tibbles for use in tidy workflow. Default is TRUE.

Value

An S3 object of class mcmc.output.processed containing the processed posterior margins.

EandrewJones/mmBPFA documentation built on Feb. 14, 2021, 11:17 p.m.