evinf: Inference with Extreme Value Inflated Count Data

Allows users to model and draw inferences from extreme value inflated count data, and to evaluate these models and compare to non extreme-value inflated counterparts. The package is built to be compatible with standard presentation tools such as 'broom', 'tidy', and 'modelsummary'.

Version: 0.8.8
Depends: generics, R (≥ 2.10)
Imports: dplyr, Rcpp, RcppArmadillo, foreach, doParallel, magrittr, doRNG, tibble, mistr, tidyr, purrr, MASS, pscl, MLmetrics, Rdpack, stringi, stringr, rlang, methods, stats, utils, parallel
LinkingTo: Rcpp, RcppArmadillo
Published: 2024-02-23
Author: David Randahl [cre, aut], Johan Vegelius [aut]
Maintainer: David Randahl <david.randahl at pcr.uu.se>
BugReports: https://github.com/Doktorandahl/evinf/issues
License: MIT + file LICENSE
URL: https://github.com/Doktorandahl/evinf
NeedsCompilation: yes
Citation: evinf citation info
Materials: README NEWS
CRAN checks: evinf results

Documentation:

Reference manual: evinf.pdf

Downloads:

Package source: evinf_0.8.8.tar.gz
Windows binaries: r-devel: evinf_0.8.7.zip, r-release: evinf_0.8.8.zip, r-oldrel: evinf_0.8.8.zip
macOS binaries: r-release (arm64): evinf_0.8.8.tgz, r-oldrel (arm64): evinf_0.8.8.tgz, r-release (x86_64): evinf_0.8.8.tgz
Old sources: evinf archive

Linking:

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