Package: assessor 1.3.1

assessor: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes

Provides assessment tools for regression models with discrete and semicontinuous outcomes. The implemented methods are described 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 et al. (2026) <doi:10.1002/cjs.70046>. It calculates double probability integral transform (DPIT) residuals and constructs QQ plots, ordered curves, quasi-empirical residual distribution functions, and formal goodness-of-fit tests.

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

assessor_1.3.1.tar.gz
assessor_1.3.1.zip(r-4.7-any)assessor_1.3.1.zip(r-4.6-any)assessor_1.3.1.zip(r-4.5-any)
assessor_1.3.1.tgz(r-4.6-any)assessor_1.3.1.tgz(r-4.5-any)
assessor_1.3.1.tar.gz(r-4.7-any)assessor_1.3.1.tar.gz(r-4.6-any)
assessor_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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/docs site:https://jhlee1408.github.io

Datasets:

bballHR - MLB Players' Home Run and Batted Ball Statistics with Red Zone Metrics
LGPIF - LGPIF Data
MEPS - Healthcare expenditure data

On CRAN:

3.60 score 1 stars 7 scripts 445 downloads 13 exports 20 dependencies

Last updated from:a15ea99ea0. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	180
source / vignettes	OK	254
linux-release	OK	174
macos-release	OK	291
macos-oldrel	OK	184
windows-devel	OK	121
windows-release	OK	118
windows-oldrel	OK	120
wasm-release	OK	139

Exports:dpit dpit_2pm dpit_bin dpit_nb dpit_ordi dpit_pois dpit_tobit dpit_tweedie dpit_znb dpit_zpois gof_disc ord_curve quasi_plot

Dependencies:boot cli crs cubature lattice lifecycle MASS Matrix MatrixModels np pscl quadprog quantreg Rcpp rlang SparseM statmod survival tweedie VGAM

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
MLB Players' Home Run and Batted Ball Statistics with Red Zone Metrics (2017-2019)	bballHR
DPIT residuals for regression models with various non-continuous outcomes	dpit
Residuals for regression models with two-part outcomes	dpit_2pm
Residuals for regression models with binary outcomes	dpit_bin
Residuals for regression models with negative binomial outcomes	dpit_nb
Residuals for regression models with ordinal outcomes	dpit_ordi
Residuals for regression models with poisson outcomes	dpit_pois
Residuals for a tobit model	dpit_tobit
Residuals for regression models with tweedie outcomes	dpit_tweedie
Residuals for regression models with zero-inflated negative binomial outcomes	dpit_znb
Residuals for regression models with zero-inflated Poisson outcomes	dpit_zpois
Methods for DPIT residual objects	dpit-methods plot.dpit print.dpit print.summary.dpit residuals.dpit summary.dpit
Goodness-of-fit test for discrete outcome regression models	gof_disc
LGPIF Data	LGPIF
Healthcare expenditure data	MEPS
Ordered curve for assessing mean structures	ord_curve
Quasi empirical residuals functions	quasi_plot