parDistributionCustom: Produce data suitable for plotting parameter distributions

In pcFactorStan: Stan Models for the Paired Comparison Factor Model

Produce data suitable for plotting parameter distributions

Description

Produce data suitable for plotting parameter distributions

Usage

parDistributionCustom(
  fit,
  pars,
  nameVec,
  label = withoutIndex(pars[1]),
  samples = 500
)

parDistributionFor(fit, pi, samples = 500)

Arguments

fit	a stanfit object
pars	a vector of parameter names
nameVec	a vector of explanatory parameters names
label	column name for nameVec
samples	number of posterior samples
pi	a data.frame returned by parInterval

Value

A data.frame with the following columns:

sample

Sample index

label

A name from nameVec

value

A single sample of the associated parameter

See Also

Other data extractor: parInterval(), responseCurve()

Examples

 vignette('manual', 'pcFactorStan') 

pcFactorStan documentation built on Sept. 14, 2023, 1:09 a.m.