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rpf (version 0.16)

Response Probability Functions

Description

The purpose of this package is to factor out logic and math common to Item Factor Analysis 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

0.16

License

GPL (>= 3)

Maintainer

Joshua Pritikin

Last Published

October 14th, 2013

Functions in rpf (0.16)

chen.thissen.1997

Computes local dependence indices for all pairs of items
rpf.ot2000.chisq

Compute S-Chi-squared fit statistic for a set of items
rpf.1dim.stdresidual

Calculate standardized residuals
read.flexmirt

Read a flexMIRT PRM file
rpf.mean.info

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

Item parameter derivatives
rpf.prob

Map an item model, item parameters, and person trait score into a probability vector
Class rpf.mdim.nrm

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

Retrieve a description of the given parameter
rpf.nrm

Create a nominal response model
rpf.id_of

Convert an IRT item model name to an ID
Class rpf.1dim.graded

The base class for 1 dimensional graded response probability functions.
An introduction

rpf - Response Probability Functions
rpf.ot2000.chisq1

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

The base class for response probability functions.
science

Liking for Science dataset
rpf.numSpec

Length of the item model vector
Class rpf.1dim

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

Calculate item and person Rasch fit statistics
rpf.ogive

The ogive constant
ordinal.gamma

Compute the ordinal gamma association statistic
rpf.sample

Randomly sample response patterns given a list of items
Class rpf.1dim.grm

The unidimensional graded response item model.
rpf.rparam

Generates item parameters
rpf.1dim.residual

Calculate residuals
rpf.1dim.moment

Calculate cell central moments
rpf.mean.info1

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

The base class for multi-dimensional response probability functions.
rpf.info

Map an item model, item parameters, and person trait score into a information vector
rpf.numParam

Length of the item parameter vector
Class rpf.mdim.mcm

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

Item derivatives with respect to ability
rpf.mcm

Create a multiple-choice response model
rpf.logprob

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

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

Create a graded response model
Class rpf.mdim.grm

The multidimensional graded response item model.
rpf.rescale

Rescale item parameters
ptw2011.gof.test

Compute the P value that the observed and expected tables come from the same distribution
Class rpf.mdim.drm

Multidimensional dichotomous item models (M1PL, M2PL, and M3PL).
write.flexmirt

Write a flexMIRT PRM file
Class rpf.mdim.graded

The base class for multi-dimensional graded response probability functions.
kct

Knox Cube Test dataset
rpf.drm

Create a dichotomous response model