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: |
0.8.7 |
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: |
2023-09-20 |
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:
Downloads:
Linking:
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