Package: good 1.0.2

Jordi Tur

good: Good Regression

Fit Good regression models to count data (Tur et al., 2021) <doi:10.48550/arXiv.2105.01557>. The package provides functions for model estimation and model prediction. Density, distribution function, quantile function and random generation for the Good distribution are also provided.

Authors:Jordi Tur [aut, cre], David Moriña [ctb], Pere Puig [ctb], Argimiro Arratia [ctb], Alejandra Cabaña [ctb], David Agis [ctb], Amanda Fernández-Fontelo [aut]

good_1.0.2.tar.gz
good_1.0.2.tar.gz(r-4.5-noble)good_1.0.2.tar.gz(r-4.4-noble)
good_1.0.2.tgz(r-4.4-emscripten)good_1.0.2.tgz(r-4.3-emscripten)
good.pdf |good.html✨
good/json (API)

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

Peer review:

Datasets:
  • polar - Polar bear litter size data set

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 53 downloads 5 exports 19 dependencies

Last updated 7 months agofrom:a45ea2b9d7. Checks:OK: 1 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linuxERRORDec 08 2024

Exports:dgoodglm.goodpgoodqgoodrgood

Dependencies:ADGofTestcolorspacecopuladigestgenericsgsllatticeMatrixmaxLikmiscToolsmvtnormnumDerivpcaPPplyrpsplineRcppsandwichstabledistzoo