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 (2023) <doi:10.48550/arXiv.2308.15596>. It calculates the double probability integral transform (DPIT) residuals, constructs QQ plots of residuals and the ordered curve for assessing mean structures.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: tweedie, MASS, VGAM, np
Suggests: pscl, statmod, rmarkdown, knitr, AER, faraway, testthat (≥ 3.0.0)
Published: 2024-04-03
Author: Lu Yang [aut], Jeonghwan Lee [cre, aut]
Maintainer: Jeonghwan Lee <lee03938 at umn.edu>
BugReports: https://github.com/jhlee1408/assessor/issues
License: MIT + file LICENSE
URL: https://jhlee1408.github.io/assessor/
NeedsCompilation: no
CRAN checks: assessor results

Documentation:

Reference manual: assessor.pdf

Downloads:

Package source: assessor_1.1.0.tar.gz
Windows binaries: r-devel: assessor_1.1.0.zip, r-release: assessor_1.1.0.zip, r-oldrel: assessor_1.1.0.zip
macOS binaries: r-release (arm64): assessor_1.1.0.tgz, r-oldrel (arm64): assessor_1.1.0.tgz, r-release (x86_64): assessor_1.1.0.tgz
Old sources: assessor archive

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