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:	1.1.1
Depends:	R (≥ 3.5)
Imports:	tweedie, MASS, VGAM, np
Suggests:	pscl, statmod, rmarkdown, knitr, AER, faraway, testthat (≥ 3.0.0)
Published:	2025-02-17
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

Documentation:

Reference manual:

assessor.html , assessor.pdf

Downloads:

Package source:	assessor_1.1.1.tar.gz
Windows binaries:	r-devel: assessor_1.1.1.zip, r-release: assessor_1.1.1.zip, r-oldrel: assessor_1.1.1.zip
macOS binaries:	r-release (arm64): assessor_1.1.1.tgz, r-oldrel (arm64): assessor_1.1.1.tgz, r-release (x86_64): assessor_1.1.1.tgz, r-oldrel (x86_64): assessor_1.1.1.tgz
Old sources:	assessor archive

Linking:

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