Package: assessor 1.3.0
assessor: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
Provides assessment tools for regression models with discrete and semicontinuous outcomes proposed in Yang (2021) <https://doi.org/10.1080/10618600.2021.1910042>, Yang (2024) <https://doi.org/10.1080/10618600.2024.2303336>, Yang (2024) <https://doi.org/10.1093/biomtc/ujae007>, and Yang (2026) <https://doi.org/10.1002/cjs.70046>. It calculates the double probability integral transform (DPIT) residuals. It also constructsQQ plots of residuals the ordered curve for assessing mean structures, quasi-empirical distribution function for overall assessment, and a formal goodness-of-fit test.
Authors:
assessor_1.3.0.tar.gz
assessor_1.3.0.zip(r-4.7)assessor_1.3.0.zip(r-4.6)assessor_1.3.0.zip(r-4.5)
assessor_1.3.0.tgz(r-4.6-any)assessor_1.3.0.tgz(r-4.5-any)
assessor_1.3.0.tar.gz(r-4.7-any)assessor_1.3.0.tar.gz(r-4.6-any)
assessor_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
assessor/json (API)
| # Install 'assessor' in R: |
| install.packages('assessor', repos = c('https://jhlee1408.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jhlee1408/assessor/issues
Pkgdown/docs site:https://jhlee1408.github.io
Last updated from:f25a700a60. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 183 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 184 | ||
| macos-release-arm64 | OK | 214 | ||
| macos-oldrel-arm64 | OK | 212 | ||
| windows-devel | OK | 267 | ||
| windows-release | OK | 129 | ||
| windows-oldrel | OK | 141 | ||
| wasm-release | OK | 120 |
Exports:dpitdpit_2pmdpit_bindpit_nbdpit_ordidpit_poisdpit_tobitdpit_tweediedpit_znbdpit_zpoisgof_discord_curvequasi_plot
Dependencies:bootclicubaturelatticelifecycleMASSMatrixMatrixModelsnppsclquadprogquantregRcpprlangSparseMstatmodsurvivaltweedieVGAM
