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assessor: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
Provides assessment tools for regression models with discrete and semicontinuous outcomes. The implemented methods are described 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 double probability integral transform (DPIT) residuals and constructs QQ plots, ordered curves, quasi-empirical residual distribution functions, and formal goodness-of-fit tests.
Getting started
Browse package contents
Package details |
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| Author | Lu Yang [aut], Jeonghwan Lee [cre, aut] |
| Maintainer | Jeonghwan Lee <lee03938@umn.edu> |
| License | GPL (>= 3) |
| Version | 1.3.2 |
| URL | https://jhlee1408.github.io/assessor/ |
| Package repository | View on CRAN |
| Installation |
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