Package: pairwise 0.6.1-0
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_0.6.1-0.tar.gz
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pairwise_0.6.1-0.tgz(r-4.4-any)pairwise_0.6.1-0.tgz(r-4.3-any)
pairwise_0.6.1-0.tar.gz(r-4.5-noble)pairwise_0.6.1-0.tar.gz(r-4.4-noble)
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pairwise.pdf |pairwise.html✨
pairwise/json (API)
NEWS
| # Install 'pairwise' in R: |
| install.packages('pairwise', repos = c('https://jhhmuc.r-universe.dev', 'https://cloud.r-project.org')) |
- DEU_PISA2012 - Data from PISA 2012 - German Sample
- KCT - Knox Cube Test Data from Wright & Stone
- Neoffi5 - Polytomous example data in Rost 2004
- bfiN - 5 polytomous personality items
- bfiN_miss - 5 polytomous personality items
- bfi_cov - Covariates to the bfiN Data
- cog - Math PISA (2003) data
- cogBOOKLET - Booklet allocation table for Math PISA (2003) data
- kft5 - Dichotomous 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 2 years agofrom:1f355868d5. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | OK | Nov 10 2024 |
| R-4.5-linux | OK | Nov 10 2024 |
| R-4.4-win | OK | Nov 10 2024 |
| R-4.4-mac | OK | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Exports:andersentest.perscatprobdeltaparescftabgifgrmifflrtest.persmake.incidenzpairpairSEpairwise.item.fitpairwise.person.fitpairwise.Spairwise.SepRelpersptbisQq3rfasimratff
Dependencies:
