plotACF: Plot autocorrelation function

In BayHap: Bayesian analysis of haplotype association using Markov Chain Monte Carlo

Description

Creates a single plot of the lag autocorrelations for a specified parameter.

Usage

plotACF(x, all = TRUE, name.var = " ", keep.rares.acf = FALSE)

Arguments

x	An object of class reg or freq.
all	Logical.The default value TRUE implies to plot autocorrelation function for all the parameters. If FALSE, the vector of names of the desired parameters to plot must be specified in name.var.
name.var	If all=FALSE, this must be a vector containing the names of the chosen parameters to plot their acf.
keep.rares.acf	Logical. Indicates if acf for estimates of rares category must be shown.

Value

Graphs of autocorelation function.

Author(s)

Original version by Brian J. Smith in Boa package.

Adapted version by Raquel Iniesta [e-mail]

BayHap documentation built on May 2, 2019, 12:44 a.m.