StanLCDM.run: Run Stan for estimationg LCDM

In JihongZ/StanDCM: Diagnostic Classification Model using Stan

Description

The StanLCDM.run function aims to automate runing Stan program to estimate LDCM.

Usage

StanLCDM.run(
  Qmatrix,
  response.matrix,
  script.path = NA,
  save.path = getwd(),
  save.name = "LCDM_uninf",
  iter = 1000,
  warmup = 0,
  chain.num = 3,
  init.list = "random",
  control.list = NA
)

Arguments

Qmatrix	the Q-matrix specified for the LCDM
response.matrix	the data matrix.
script.path	name the .stan
save.path	the directory the Stan Script file save to.
save.name	the file name for Stan script
iter	number of iteration for MCMC estimation. 1000 by default.
warmup	number of iterations for warmup.
chain.num	number of MCMC chains
init.list	random by default. It could be "cdm" or "random". If "cdm" was chosen, the starting values will be estimated using maximum-likehood based estimation.
control.list	constrains put on the LCDM model.

Value

MCMC stan object.

Author(s)

Zhehan Jiang, University of Alabama, [e-mail]

JihongZ/StanDCM documentation built on June 27, 2020, 7:51 a.m.