CG_control: Set options for the conjugate gradient (CG) sampler

In mcmcsae: Markov Chain Monte Carlo Small Area Estimation

Set options for the conjugate gradient (CG) sampler

Description

Set options for the conjugate gradient (CG) sampler

Usage

CG_control(
  max.it = NULL,
  stop.criterion = NULL,
  preconditioner = c("GMRF", "GMRF2", "GMRF3", "identity"),
  scale = 1,
  chol.control = chol_control(),
  verbose = FALSE
)

Arguments

max.it	maximum number of CG iterations.
stop.criterion	total squared error stop criterion for the CG algorithm.
preconditioner	one of "GMRF", "GMRF2", "GMRF3" and "identity".
scale	scale parameter; only used by the "GMRF3" preconditioner.
chol.control	options for Cholesky decomposition, see chol_control.
verbose	whether diagnostic information about the CG sampler is shown.

Value

A list of options used by the conjugate gradients algorithm.

mcmcsae documentation built on Oct. 11, 2023, 1:06 a.m.