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Set controls for Kasim-Raudenbush sampler

Source: R/set_control.R
control_kr.Rd

Set controls for Kasim-Raudenbush sampler

Usage

control_kr(
  niter = 200L,
  nimp = 0L,
  start = 101L,
  thin = 1L,
  seed = NA_integer_,
  cormodel = c("none", "argyle", "cole"),
  ...
)

Arguments

niter

Integer. Number of samples from posterior. Default: 200.

nimp

Integer. Number of multiple imputations. Default: 0.

start

Integer. The iteration number of the first observation

thin

Integer. The thinning interval between consecutive observations

seed

Integer. Seed number for base::set.seed(). Use NA to bypass seed setting.

cormodel

String indicating the correlation model: "none" (default), "argyle" or "cole"

...

Allow for dot parameters

Value

A list with eight components. The function calculates parameters end (the iteration number of the last iteration) and thin_imp

(thinning factor for multiple imputations) from the other inputs.