rasch.prox

An \(N \times I\) data frame of dichotomous response data. <code>NA</code>s
are not allowed and must be indicated by zero entries in the
response indicator matrix <code>dat.resp</code>.

An \(N \times I\) indicator data frame of nonmissing item responses.

dat.resp

A vector of frequencies (or weights) of all rows in data frame <code>dat</code>.

freq

Convergence criterion for item parameters

conv

maxiter

progress

This function estimates the Rasch model using the PROX algorithm
(cited in Wright &amp; Stone, 1999).

Supplementary functions for item response models aiming
to complement existing R packages. The functionality includes among others
multidimensional compensatory and noncompensatory IRT models
(Reckase, 2009, <doi:10.1007/978-0-387-89976-3>),
MCMC for hierarchical IRT models and testlet models
(Fox, 2010, <doi:10.1007/978-1-4419-0742-4>),
NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>),
Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>;
Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>),
faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011,
<doi:10.1111/j.1745-3984.2011.00143.x>),
ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>),
DETECT statistic (Stout, Habing, Douglas & Kim, 1996,
<doi:10.1177/014662169602000403>), local structural equation modeling
(LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016,
<doi:10.1080/00273171.2016.1142856>).

Alexander Robitzsch

sirt

Supplementary Item Response Theory Models

rasch.prox function

<dl> <dt>dat</dt>
<dd>An \(N \times I\) data frame of dichotomous response data. <code>NA</code>s
are not allowed and must be indicated by zero entries in the
response indicator matrix <code>dat.resp</code>.</dd> <dt>dat.resp</dt>
<dd>An \(N \times I\) indicator data frame of nonmissing item responses.</dd> <dt>freq</dt>
<dd>A vector of frequencies (or weights) of all rows in data frame <code>dat</code>.</dd> <dt>conv</dt>
<dd>Convergence criterion for item parameters</dd> <dt>maxiter</dt>
<dd>Maximum number of iterations</dd> <dt>progress</dt>
<dd>Display progress?</dd></dl>

Arguments

PROX Estimation Method for the Rasch Model — rasch.prox

<dl>

 <dt>dat</dt>
<dd>An \(N \times I\) data frame of dichotomous response data. <code>NA</code>s
are not allowed and must be indicated by zero entries in the
response indicator matrix <code>dat.resp</code>.</dd>

 <dt>dat.resp</dt>
<dd>An \(N \times I\) indicator data frame of nonmissing item responses.</dd>

 <dt>freq</dt>
<dd>A vector of frequencies (or weights) of all rows in data frame <code>dat</code>.</dd>

 <dt>conv</dt>
<dd>Convergence criterion for item parameters</dd>

 <dt>maxiter</dt>
<dd>Maximum number of iterations</dd>

 <dt>progress</dt>
<dd>Display progress?</dd>

</dl>

rasch.prox: PROX Estimation Method for the Rasch Model

Description

Usage

Value

Arguments

References

Examples