Package: pairwise 0.6.4-0
pairwise: Rasch Model Parameters by Pairwise Algorithm
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.
Authors:
pairwise_0.6.4-0.tar.gz
pairwise_0.6.4-0.zip(r-4.7-any)pairwise_0.6.4-0.zip(r-4.6-any)
pairwise_0.6.4-0.tar.gz(r-4.7-any)pairwise_0.6.4-0.tar.gz(r-4.6-any)
pairwise_0.6.4-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pairwise/json (API)
| # Install 'pairwise' in R: |
| install.packages('pairwise', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- bfi_cov - Covariates to the bfiN Data
- bfiN - 5 polytomous personality items
- bfiN_miss - 5 polytomous personality items
- cog - Math PISA (2003) data
- cogBOOKLET - Booklet allocation table for Math PISA (2003) data
- DEU_PISA2012 - Data from PISA 2012 - German Sample
- KCT - Knox Cube Test Data from Wright & Stone
- kft5 - Dichotomous example data in Rost 2004
- Neoffi5 - Polytomous example data in Rost 2004
- sim200x3 - Simulated Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:785397f639. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 112 | ||
| source / vignettes | OK | 162 | ||
| linux-release | OK | 137 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 95 | ||
| wasm-release | OK | 87 |
Exports:andersentest.perscatprobdeltaparescftabgifgrmifflogLik.perslrtest.persmake.incidenzpairpairSEpairwise.item.fitpairwise.person.fitpairwise.Spairwise.SepRelpersptbisQq3Qtestresiduals.persrfasimratff
Dependencies:
