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) <doi:10.1080/10618600.2021.1910042>, Yang (2024) <doi:10.1080/10618600.2024.2303336>, Yang (2024) <doi:10.1093/biomtc/ujae007>, and Yang (2026) <doi:10.1002/cjs.70046>. It calculates the double probability integral transform (DPIT) residuals. It also constructs QQ plots of residuals the ordered curve for assessing mean structures, quasi-empirical distribution function for overall assessment, and a formal goodness-of-fit test.
| Version: |
1.3.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
tweedie, MASS, VGAM, np, pscl |
| Suggests: |
statmod, rmarkdown, knitr, AER, faraway, testthat (≥ 3.0.0), mgcv |
| Published: |
2026-03-22 |
| DOI: |
10.32614/CRAN.package.assessor |
| Author: |
Lu Yang [aut],
Jeonghwan Lee [cre, aut] |
| Maintainer: |
Jeonghwan Lee <lee03938 at umn.edu> |
| BugReports: |
https://github.com/jhlee1408/assessor/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://jhlee1408.github.io/assessor/ |
| NeedsCompilation: |
no |
| CRAN checks: |
assessor results |
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