Learn R Programming
⚠️There's a newer version (1.0.14) of this package.Take me there.

rpf (version 0.27)

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.

Copy Link

Version

Install

install.packages('rpf')

Monthly Downloads

20,661

Version

0.27

License

GPL (>= 3)

Maintainer

Joshua Pritikin

Last Published

March 18th, 2014

Functions in rpf (0.27)

logit

Transform from [0,1] to the reals
Class rpf.mdim.drm

Multidimensional dichotomous item models (M1PL, M2PL, and M3PL).
rpf.mcm

Create a multiple-choice response model
rpf.logprob

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

Read a flexMIRT PRM file
Class rpf.mdim.nrm

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

Generates item parameters
unpack.2tier

Unpack a two-tier model
rpf.modify

Create a similar item specification with the given number of factors
rpf.paramInfo

Retrieve a description of the given parameter
science

Liking for Science dataset
chen.thissen.1997

Computes local dependence indices for all pairs of items
rpf.1dim.residual

Calculate residuals
ptw2011.gof.test

Compute the P value that the observed and expected tables come from the same distribution
rpf.1dim.stdresidual

Calculate standardized residuals
An introduction

rpf - Response Probability Functions
Class rpf.mdim

The base class for multi-dimensional response probability functions.
rpf.mean.info1

Find the point where an item provides mean maximum information
ordinal.gamma

Compute the ordinal gamma association statistic
rpf.grm

Create a graded response model
kct

Knox Cube Test dataset
write.flexmirt

Write a flexMIRT PRM file
rpf.ot2000.chisq1

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

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

Length of the item model vector
rpf.prob

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

Rescale item parameters
rpf.mean.info

Find the point where an item provides mean maximum information
rpf.1dim.moment

Calculate cell central moments
Class rpf.1dim.graded

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

Convert an IRT item model name to an ID
rpf.nrm

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

The unidimensional graded response item model.
rpf.dTheta

Item derivatives with respect to ability
Class rpf.1dim.drm

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

The multidimensional graded response item model.
rpf.sample

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

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

The ogive constant
rpf.dLL

Item parameter derivatives
rpf.1dim.fit

Calculate item and person Rasch fit statistics
Class rpf.base

The base class for response probability functions.
Class rpf.mdim.mcm

The multiple-choice response item model (both unidimensional and multidimensional models have the same parameterization).
Class rpf.1dim

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

Create a dichotomous response model
rpf.numParam

Length of the item parameter vector
rpf.ot2000.chisq

Compute S-Chi-squared fit statistic for a set of items