Package: assessor 1.1.0

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.

Authors:Lu Yang [aut], Jeonghwan Lee [cre, aut]

assessor_1.1.0.tar.gz
assessor_1.1.0.zip(r-4.5)assessor_1.1.0.zip(r-4.4)assessor_1.1.0.zip(r-4.3)
assessor_1.1.0.tgz(r-4.5-any)assessor_1.1.0.tgz(r-4.4-any)assessor_1.1.0.tgz(r-4.3-any)
assessor_1.1.0.tar.gz(r-4.5-noble)assessor_1.1.0.tar.gz(r-4.4-noble)
assessor_1.1.0.tgz(r-4.4-emscripten)assessor_1.1.0.tgz(r-4.3-emscripten)
assessor.pdf |assessor.html✨
assessor/json (API)

# Install 'assessor' in R:
install.packages('assessor', repos = c('https://jhlee1408.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jhlee1408/assessor/issues

Pkgdown site:https://jhlee1408.github.io

Datasets:
  • MEPS - Healthcare expenditure data

On CRAN:

Conda:

3.30 score 1 stars 8 scripts 264 downloads 7 exports 14 dependencies

Last updated 12 months agofrom:5f0f0aca3f. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winOKFeb 18 2025
R-4.5-macOKFeb 18 2025
R-4.5-linuxOKFeb 18 2025
R-4.4-winOKFeb 18 2025
R-4.4-macOKFeb 18 2025
R-4.3-winOKFeb 18 2025
R-4.3-macOKFeb 18 2025

Exports:ord_curveqqresidresid_2pmresid_discresid_quasiresid_semicontiresid_zeroinfl

Dependencies:bootcubaturelatticeMASSMatrixMatrixModelsnpquadprogquantregRcppSparseMsurvivaltweedieVGAM