diagnostic.plots: MCMC diagnostic plots

In abnormally-distributed/abdisttools: Random Functions for Personal Use

Description

MCMC diagnostic plots

Usage

diagnostic.plots(model.fit, family. = NA, description. = NA,
  burnin. = FALSE, par_labels. = NA, sort. = TRUE,
  inc_warmup. = FALSE, stan_include_auxiliar. = FALSE)

Arguments

family.	group of parameters with the same name but different numerical value between square brackets (as beta[1], beta[2])
description.	Character vector giving a short descriptive text that identifies the model.
par_labels.	data frame with two colums. One named "Parameter" with the same names of the parameters of the model.
sort.	Logical. When TRUE (the default), parameters are sorted first by family name and then by numerical value.
inc_warmup.	Logical. When dealing with stanfit objects from rstan, logical value whether the warmup samples are included. Defaults to FALSE.
stan_include_auxiliar.	Logical value to include "lp__" parameter in rstan, and "lp__", "treedepth__" and "stepsize__" in stan running without rstan. Defaults to FALSE.
mcmc.list.	an MCMC list
droppars.	variables to exclude. Defaults to droppars = "lp__".

Examples

diagnostic.plots()

abnormally-distributed/abdisttools documentation built on May 5, 2019, 7:07 a.m.