checkConvergence: Compute Differences Between MCMC Chains

In ptycho: Bayesian Variable Selection with Hierarchical Priors

Compute Differences Between MCMC Chains

Description

Compute the differences between the chains in a ptycho object of the means of \tau and the indicator variables.

Usage

checkConvergence(obj, doLastIterOnly=TRUE)

Arguments

obj	A ptycho object
doLastIterOnly	Logical specifying whether to compute differences only for the last MCMC iteration in the input object or for all iterations

Details

For \tau and each indicator variable in the input ptycho object, compute the difference between the maximum and the minimum mean for each chain. If doLastIterOnly is TRUE, then the differences are only computed for the last iteration in each chain; otherwise, the differences are computed at each iteration in the input object.

Value

A data frame with the following columns:

iter

MCMC iteration number

type

Factor specifying the type of the variable; one of “tau”, “var” for variant indicator variable, or “grp” for second-level indicator variable

index

Number specifying the pertinent column in the design matrix (for type equal to “var” or for type equal to “grp” when Across Traits prior was used) or the variant group index (for type equal to “grp” when Across Sites prior was used); equal to 1 for type equal to “tau”

y

Factor specifying the name of the response; empty for type equal to “tau” or for type equal to “grp” when Across Traits prior was used

range

Difference between maximum and minimum across chains

Author(s)

Laurel Stell and Chiara Sabatti
Maintainer: Laurel Stell <[e-mail]>

See Also

ptycho; also ptychoOut for example below

Examples

data(ptychoOut)
cvg <- checkConvergence(ptychoOut, doLastIterOnly=FALSE)
reshape2::dcast(cvg, ... ~ iter, value.var="range")

ptycho documentation built on April 12, 2025, 1:15 a.m.