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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.1 |
rolling linux/jammy R-4.5 | assessor_1.3.1.tar.gz |
736.7 KiB |
1.3.1 |
rolling linux/noble R-4.5 | assessor_1.3.1.tar.gz |
736.5 KiB |
1.3.1 |
rolling source/ R- | assessor_1.3.1.tar.gz |
397.6 KiB |
1.3.1 |
latest linux/jammy R-4.5 | assessor_1.3.1.tar.gz |
736.7 KiB |
1.3.1 |
latest linux/noble R-4.5 | assessor_1.3.1.tar.gz |
736.5 KiB |
1.3.1 |
latest source/ R- | assessor_1.3.1.tar.gz |
397.6 KiB |
1.3.1 |
2026-04-26 source/ R- | assessor_1.3.1.tar.gz |
397.6 KiB |
1.3.1 |
2026-04-23 source/ R- | assessor_1.3.1.tar.gz |
397.6 KiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | assessor_1.3.0.zip |
743.0 KiB |
1.1.1 |
2025-04-20 source/ R- | assessor_1.1.1.tar.gz |
273.8 KiB |