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pairwise  

Rasch Model Parameters by Pairwise Algorithm
View on CRAN: Click here


Download and install pairwise package within the R console
Install from CRAN:
install.packages("pairwise")

Install from Github:
library("remotes")
install_github("cran/pairwise")

Install by package version:
library("remotes")
install_version("pairwise", "0.6.1-0")



Attach the package and use:
library("pairwise")
Maintained by
Joerg-Henrik Heine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-02-07
Latest Update: 2023-04-17
Description:
Performs the explicit calculation -- not estimation! -- of the Rasch item parameters for dichotomous and polytomous item responses, using a pairwise comparison approach. Person parameters (WLE) are calculated according to Warm's weighted likelihood approach.
How to cite:
Joerg-Henrik Heine (2013). pairwise: Rasch Model Parameters by Pairwise Algorithm. R package version 0.6.1-0, https://cran.r-project.org/web/packages/pairwise. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.3-1 (2013-02-11 06:57), 0.1.3 (2013-02-07 22:59), 0.1.4 (2013-07-11 07:30), 0.1.5 (2013-11-18 13:51), 0.2.2 (2014-04-07 17:08), 0.2.4 (2014-04-14 19:20), 0.2.5 (2014-05-29 00:43), 0.3.1 (2015-12-03 17:54), 0.4.1 (2017-02-24 23:38), 0.4.3-2 (2017-09-29 17:26), 0.4.4-5.1 (2019-01-31 17:50), 0.4.4-7 (2020-02-04 10:40), 0.4.5-1 (2020-06-05 15:10), 0.5.0-1 (2020-12-02 14:20), 0.5.0-2 (2021-01-06 18:00), 0.6.0-0 (2022-08-25 21:30)
Other packages that cited pairwise R package
View pairwise citation profile
Other R packages that pairwise depends, imports, suggests or enhances
Complete documentation for pairwise
Functions, R codes and Examples using the pairwise R package
Some associated functions: DEU_PISA2012 . KCT . Neoffi5 . Q . andersentest.pers . bfiN . bfiN_miss . bfi_cov . catprob . cog . cogBOOKLET . deltapar . esc . ftab . gif . grm . iff . kft5 . logLik.pers . lrtest.pers . make.incidenz . pair . pairSE . pairwise-package . pairwise.S . pairwise.SepRel . pairwise.item.fit . pairwise.person.fit . pers . plot.grm . plot.pair . plot.pairSE . plot.pers . plot.rfa . ptbis . q3 . residuals.pers . rfa . sim200x3 . simra . summary.grm . summary.pair . summary.pairS . summary.pairSE . summary.pairwiseSepRel . summary.pers . summary.pifit . summary.ppfit . summary.q3 . summary.rfa . tff . 
Some associated R codes: Q.R . andersentest.pers.R . catprob.R . deltapar.R . esc.R . ftab.R . gif.R . grm.R . i.GewLL.R . i.PersPar.R . i.dataprep1.R . i.dummy.R . i.expscore.R . i.missing_group.R . i.polyguttcode.R . i.polyptb.R . i.ptb.R . i.pvx.R . i.pvx.matrix.R . i.pvx.super.R . i.str.pattern.R . iff.R . logLik.pers.R . lrtest.pers.R . make.incidenz.R . pair.R . pairSE.R . pairwise-package.R . pairwise.S.R . pairwise.SepRel.R . pairwise.item.fit.R . pairwise.person.fit.R . pers.R . plot.grm.R . plot.pair.R . plot.pairSE.R . plot.pers.R . plot.rfa.R . ptbis.R . q3.R . residuals.pers.R . rfa.R . simra.R . summary.grm.R . summary.pair.R . summary.pairS.R . summary.pairSE.R . summary.pairwise.SepRel.R . summary.pers.R . summary.pifit.R . summary.ppfit.R . summary.q3.R . summary.rfa.R . tff.R .  Full pairwise package functions and examples
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