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rpf (version 0.14)

Response Probability Functions

Description

The purpose of this package is to factor out logic and math common to Item Response Theory fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable.

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Version

Install

install.packages('rpf')

Monthly Downloads

20,661

Version

0.14

License

GPL (>= 3)

Maintainer

Joshua Pritikin

Last Published

August 16th, 2013

Functions in rpf (0.14)

kct

Knox Cube Test dataset
rpf.id_of

Convert an IRT item model name to an ID
An introduction

rpf - Response Probability Functions
rpf.logprob

Map an item model, item parameters, and person trait score into a probability vector
rpf.ot2000.chisq

Compute S-Chi-squared fit statistic for a set of items
rpf.ot2000.chisq1

Compute S-Chi-squared fit statistic for 1 item
rpf.rparam

Generates item parameters
rpf.mean.info1

Find the point where an item provides mean maximum information
rpf.ogive

The ogive constant
rpf.mcm

Create a multiple-choice response model
Class rpf.1dim.graded

The base class for 1 dimensional graded response probability functions.
rpf.1dim.stdresidual

Calculate standardized residuals
Class rpf.mdim

The base class for multi-dimensional response probability functions.
Class rpf.mdim.nrm

The nominal response item model (both unidimensional and multidimensional models have the same parameterization).
rpf.mean.info

Find the point where an item provides mean maximum information
rpf.nrm

Create a nominal response model
Class rpf.1dim.drm

Unidimensional dichotomous item models (1PL, 2PL, and 3PL).
rpf.grm

Create a graded response model
Class rpf.mdim.graded

The base class for multi-dimensional graded response probability functions.
Class rpf.mdim.mcm

The multiple-choice response item model (both unidimensional and multidimensional models have the same parameterization).
rpf.drm

Create a dichotomous response model
Class rpf.mdim.drm

Multidimensional dichotomous item models (M1PL, M2PL, and M3PL).
rpf.1dim.moment

Calculate cell central moments
Class rpf.1dim

The base class for 1 dimensional response probability functions.
rpf.sample

Randomly sample response patterns given a list of items
Class rpf.base

The base class for response probability functions.
rpf.prob

Map an item model, item parameters, and person trait score into a probability vector
read.flexmirt

Read a flexMIRT PRM file
write.flexmirt

Write a flexMIRT PRM file
rpf.1dim.residual

Calculate residuals
rpf.info

Map an item model, item parameters, and person trait score into a information vector
Class rpf.1dim.grm

The unidimensional graded response item model.
rpf.1dim.fit

Calculate item and person Rasch fit statistics
rpf.dLL

Item parameter derivatives
rpf.paramInfo

Retrieve a description of the given parameter
rpf.rescale

Rescale item parameters
rpf.dTheta

Item derivatives with respect to ability
rpf.numSpec

Length of the item model vector
rpf.numParam

Length of the item parameter vector
science

Liking for Science dataset
Class rpf.mdim.grm

The multidimensional graded response item model.