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]

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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'))

Peer review:

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

Datasets:
  • MEPS - Healthcare expenditure data

On CRAN:

3.78 score 1 stars 8 scripts 231 downloads 7 exports 14 dependencies

Last updated 8 months agofrom:5f0f0aca3f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:ord_curveqqresidresid_2pmresid_discresid_quasiresid_semicontiresid_zeroinfl

Dependencies:bootcubaturelatticeMASSMatrixMatrixModelsnpquadprogquantregRcppSparseMsurvivaltweedieVGAM