BayesMallows: assess_convergence – R documentation

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assess_convergence

Trace Plots from Metropolis-Hastings Algorithm

Description

assess_convergence provides trace plots for the parameters of the Mallows Rank model, in order to study the convergence of the Metropolis-Hastings algorithm.

Usage

assess_convergence(
  model_fit,
  parameter = "alpha",
  items = NULL,
  assessors = NULL
)

Arguments

`model_fit`	A fitted model object of class `BayesMallows` returned from `compute_mallows` or an object of class `BayesMallowsMixtures` returned from `compute_mallows_mixtures`.
`parameter`	Character string specifying which parameter to plot. Available options are `"alpha"`, `"rho"`, `"Rtilde"`, `"cluster_probs"`, or `"theta"`.
`items`	The items to study in the diagnostic plot for `rho`. Either a vector of item names, corresponding to `model_fit$items` or a vector of indices. If NULL, five items are selected randomly. Only used when `parameter = "rho"` or `parameter = "Rtilde"`.
`assessors`	Numeric vector specifying the assessors to study in the diagnostic plot for `"Rtilde"`.

assess_convergence

Description

Usage

Arguments

See Also

BayesMallows

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