BASiCS_diagHist {BASiCS}R Documentation

Create diagnostic plots of MCMC parameters

Description

Plot a histogram of effective sample size or Geweke's diagnostic z-statistic. See effectiveSize and geweke.diag for more details.

Usage

BASiCS_diagHist(object, Param = NULL, na.rm = TRUE)

Arguments

object

an object of class BASiCS_Summary

Param

Optional name of a chain parameter to restrict the histogram; if not supplied, all parameters will be assessed. Possible values: 'mu', 'delta', 'phi', 's', 'nu', 'theta', 'beta', 'sigma2' and 'epsilon'. Default Param = NULL.

na.rm

Logical value indicating whether NA values should be removed before calculating effective sample size.

Value

A ggplot object.

Author(s)

Alan O'Callaghan a.b.ocallaghan@sms.ed.ac.uk

See Also

BASiCS_Chain

Examples


# Built-in example chain
data(ChainSC)

# See effective sample size distribution across all parameters
BASiCS_diagHist(ChainSC)
# For mu only
BASiCS_diagHist(ChainSC, Param = "mu")


[Package BASiCS version 1.6.0 Index]