final.values.mcmc: Values of the last iteration for each chain

In bairt: Bayesian Analysis of Item Response Theory Models

Description

This function gives the values of the last iteration for each chain. This is useful for assign the initial values from new MCMC models.

Usage

final.values.mcmc(mcmclist, ...)

Arguments

mcmclist	A mcmc.2pnob or mcmc.3pnob class object.
...	Further arguments.

Value

A list with the last values simulated from a mcmc.2pnob or mcmc.3pnob class object.

Author(s)

Javier Mart<c3><ad>nez

See Also

mcmc.2pnob, mcmc.3pnob and continue.mcmc.bairt.

Examples

# data for model
data("MathTest")

# Only for the first 500 examinees of the data MathTest
# Two-Parameter Normal Ogive Model
model2 <- mcmc.2pnob(MathTest[1:500,], iter = 100, burning = 0)

# continue the  MCMC for the Two-Parameter Normal Ogive Model
initialValues2 <- final.values.mcmc(model2)
model121 <- mcmc.2pnob(MathTest[1:500,], initial.value = initialValues2,
iter = 100, burning = 0)


# For all examinees of the data MathTest
# Three-Parameter Normal Ogive Model
model3 <- mcmc.3pnob(MathTest, iter = 3500, burning = 500)

# continue the  MCMC for the Three-Parameter Normal Ogive Model
initialValues3 <- final.values.mcmc(model3)
model131 <- mcmc.3pnob(MathTest, initial.value = initialValues3,
iter = 3000, burning = 0)


## End(Not run)

bairt documentation built on May 1, 2019, 10:56 p.m.