mirt (version 1.3)

calcLogLik: Monte Carlo Log-Likelihood Calculation

Description

Calculates a new object that contain the Monte Carlo estimated observed log-likelihood values for mirt objects estimated with the MH-RM algorithm. Can be estimated in parallel automatically by defining a parallel object with mirtCluster.

Usage

calcLogLik(object, ...)
## S3 method for class 'ExploratoryClass':
calcLogLik(object,
   draws = 5000, G2 = TRUE)
## S3 method for class 'ConfirmatoryClass':
calcLogLik(object,
   draws = 5000, G2 = TRUE)
## S3 method for class 'MixedClass':
calcLogLik(object,
   draws = 5000)

Arguments

object

a model of class ConfirmatoryClass or ExploratoryClass

draws

the number of Monte Carlo draws

G2

logical; estimate the G2 model fit statistic?

...

parameters that are passed

Value

• Returns an object with the log-likelihood and Monte Carlo standard errors, and (possibly) the G^2 and other model fit statistic if there is no missing data.

See Also

mirt, multipleGroup, mixedmirt

Examples

# no parallel
mod1withLogLik <- calcLogLik(mod1, draws=5000)

#with parallel using detected number of cores
library(parallel)
mirtCluster(detectCores())
mod1withLogLik <- calcLogLik(mod1, draws=5000)