gibbs_after_mcem_diff_initials: Generating different initials for multiple chains.
In DGP4LCF: Dependent Gaussian Processes for Longitudinal Correlated Factors

View source: R/gibbs_after_mcem_diff_initials.R

gibbs_after_mcem_diff_initials

R Documentation

Generating different initials for multiple chains.

Description

Generating different initials for multiple chains.

Usage

gibbs_after_mcem_diff_initials(
  ind_x = TRUE,
  tot_chain = 5,
  mcem_parameter_setup_result,
  mcem_algorithm_result
)

Arguments

`ind_x`	A logical value. ind_x = TRUE uses the model including the intercept term for subject-gene mean in after-MCEM-Gibbs sampler; otherwise uses the model without the intercept term.
`tot_chain`	A numeric scalar. Number of parallel chains.
`mcem_parameter_setup_result`	A list of objects returned from the function 'mcem_parameter_setup'.
`mcem_algorithm_result`	A list of objects returned from the function 'mcem_algorithm'.

Value

Different initials for multiple chains.

Examples

# See examples in vignette
vignette("bsfadgp_regular_data_example", package = "DGP4LCF")
vignette("bsfadgp_irregular_data_example", package = "DGP4LCF")

DGP4LCF documentation built on April 4, 2025, 1:13 a.m.