Package: pln 0.2-3
pln: Polytomous Logit-Normit (Graded Logistic) Model Estimation
Performs bivariate composite likelihood and full information maximum likelihood estimation for polytomous logit-normit (graded logistic) item response theory (IRT) models.
Authors:
pln_0.2-3.tar.gz
pln_0.2-3.zip(r-4.7-x86_64)pln_0.2-3.zip(r-4.6-x86_64)pln_0.2-3.zip(r-4.5-x86_64)
pln_0.2-3.tgz(r-4.6-x86_64)pln_0.2-3.tgz(r-4.6-arm64)pln_0.2-3.tgz(r-4.5-x86_64)pln_0.2-3.tgz(r-4.5-arm64)
pln_0.2-3.tar.gz(r-4.7-arm64)pln_0.2-3.tar.gz(r-4.7-x86_64)pln_0.2-3.tar.gz(r-4.6-arm64)pln_0.2-3.tar.gz(r-4.6-x86_64)
pln_0.2-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pln/json (API)
| # Install 'pln' in R: |
| install.packages('pln', repos = c('https://falkcarl.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/falkcarl/pln/issues
Last updated from:e3138ec460. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 86 | ||
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 141 | ||
| linux-release-arm64 | OK | 91 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 67 | ||
| macos-release-x86_64 | OK | 213 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| macos-oldrel-x86_64 | OK | 237 | ||
| windows-devel | OK | 89 | ||
| windows-release | OK | 110 | ||
| windows-oldrel | OK | 107 | ||
| wasm-release | OK | 94 |
Exports:nrbcplnnrmleplnnrmleraschsimulplnstartalphasstartbetas
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Polytomous Logit-Normit (Graded Logistic) Model Estimation | pln-package pln |
| 5-item Test Data Set | item5fr |
| 9 Item Test Data Set | item9cat5 |
| Full information maximum likelihood and bivariate composite likelihood estimation for polytomous logit-normit (graded logistic) model | nrbcpln nrmlepln nrmlerasch |
| Simulate data from polytomous logit-normit (graded logistic) model | simulpln |
| Starting values for polytomous logit-normit model | startalphas startbetas |
