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ltbayes (version 0.3)

Simulation-Based Bayesian Inference for Latent Traits of Item Response Models

Description

Functions for simulating realizations from the posterior distribution of a latent trait of an item response model. Distributions are conditional on one or a subset of response patterns (e.g., sum scores). Functions for computing likelihoods, Fisher and observed information, posterior modes, and profile likelihood confidence intervals are also included. These functions are designed to be easily amenable to user-specified models.

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Version

Install

install.packages('ltbayes')

Monthly Downloads

21

Version

0.3

License

GPL (>= 2)

Maintainer

Timothy R Johnson

Last Published

July 28th, 2014

Functions in ltbayes (0.3)

fmodel4pl

Latent Trait Posterior of the Four-Parameter Binary Logistic Model
fmodel2pp

Latent Trait Posterior of the Two-Parameter Binary Probit Model
fmodelgrp

Latent Trait Posterior of the Probit Graded Response Model
information

Fisher and Observed Information for an Item Response Model
postsamp

MCMC Simulation from the Posterior Distribution of the Latent Trait of an Item Response Model
fmodel1pl

Latent Trait Posterior of the One-Parameter Binary Logistic Model
fmodel1pp

Latent Trait Posterior of the One-Parameter Binary Probit Model
fmodel3pl

Latent Trait Posterior of the Three-Parameter Binary Logistic Model
posttrace

Trace the Profile of the Log-Posterior Distribution of the Latent Trait of an Item Response Model
fmodel2pl

Latent Trait Posterior of the Two-Parameter Binary Logistic Model
fmodelpcm

Latent Trait Posterior for the Partial Credit Model
fmodel3pp

Latent Trait Posterior of the Three-Parameter Binary Probit Model
patterns

Response Patterns for Given Total Score(s)
fmodelgrl

Latent Trait Posterior of the Logistic Graded Response Model
profileci

Profile Likelihood Confidence Interval of the Latent Trait of an Item Response Model
fmodelrsm

Latent Trait Posterior of the Rating Scale Model
postmode

Posterior Mode of the Posterior Distribution of the Latent Trait of an Item Response Model
fmodelnrm

Latent Trait Posterior of the Nominal Response Model
fmodelseq

Latent Trait Posterior for the Sequential Response Model
fmodel4pp

Latent Trait Posterior of the Four-Parameter Binary Probit Model