DbdaDensPlot2: Density plot of posterior distribution of a given model...

In lixiangchun/lxctk: Li Xiangchun's tool-kit (lxctk)

Description

Density plot of posterior distribution of a given model parameter.

Usage

DbdaDensPlot2( codaObject , parName=varnames(codaObject)[1] , plColors=NULL, 
xlab='Param. Value', main=paste('Posterior distribution of\n', xlab) )

Arguments

codaObject	A coda::mcmc.list object.
parName	The parameter name.
plColors	Colors to be used for plotting.
xlab	xlabel.
main	Title of the figure.

See Also

best.robust_t_test,best.student_t

Examples

library(lxctk)
library(coda)
library(rstan)

x <- rt(1000, df=1)
fit <- best.student_t(x, stanDso)
codaObject <- stanfit2mcmc.list(fit)
#diag.mcmc(codaObject)
DbdaDensPlot2(codaObject)


data('x')
##fit <- best.student_t(x, stanDso) ## The above error will be generated
fit <- best.student_t(x, stanDso, unifLo=0, unifHi=.Machine$double.xmax) ## No errors
codaObject <- stanfit2mcmc.list(fit)
#diag.mcmc(codaObject)
DbdaDensPlot2(codaObject)

lixiangchun/lxctk documentation built on May 21, 2019, 6:44 a.m.