bayes: Bayes function when running mcem with mcmc setting

In kamataak/orfr: The Model-based Approach to ORF Assessment Data

Bayes function when running mcem with mcmc setting

Description

Bayes function when running mcem with mcmc setting

Usage

bayes(
  stu.data = NA,
  studentid = "",
  passageid = "",
  numwords.p = "",
  wrc = "",
  time = "",
  parallel = T,
  n.chains = NA,
  thin = 1,
  iter = NA,
  burn = NA
)

Arguments

stu.data	- student reading data
studentid	The column name in the data that represents the unique student identifier.
passageid	The column name in the data that represents the unique passage identifier.
numwords.p	The column name in the data that represents the number of words in a passage.
wrc	The column name in the data that represents the words read correctly for each case.
time	The column name in the data that represents the time, in seconds, for each case.
parallel	parallel=T, #logical, run in parallel? "T" or "F"
n.chains	int., number of the chains
thin	int, thinning interval, a.k.a, period of saving samples
iter	int., number of the iterations after the burn-in period
burn	int., number of the burn-in iterations

Value

list

kamataak/orfr documentation built on Nov. 19, 2022, 9:03 p.m.