Package: evinf 0.8.10
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'.
Authors:
evinf_0.8.10.tar.gz
evinf_0.8.10.tar.gz(r-4.5-noble)evinf_0.8.10.tar.gz(r-4.4-noble)
evinf_0.8.10.tgz(r-4.4-emscripten)evinf_0.8.10.tgz(r-4.3-emscripten)
evinf.pdf |evinf.html✨
evinf/json (API)
NEWS
# Install 'evinf' in R: |
install.packages('evinf', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/doktorandahl/evinf/issues
- genevzinb - Simulated data from the EVZBINB distribution
- genevzinb2 - Simulated data from the EVZBINB distribution
- gm_evzinb - A goodness-of-fit gof tibble for GOF metrics when using modelsummary
- hks - Replication data for Hultman, Kathman, and Shannon (2013) United Nations Peacekeeping and Civilian Protection in Civil War
Last updated 8 months agofrom:ea7a49308c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 14 2024 |
R-4.5-linux-x86_64 | OK | Dec 14 2024 |
Exports:coefficient_extractorcompare_modelsevinbevzinblr_testoob_evaluationrevinb_fitrevzinb_fit
Dependencies:bbmlebdsmatrixbitopscaToolsclicodetoolscpp11digestdoParalleldoRNGdplyrfansiforeachgenericsgluegplotsgtoolsiteratorsKernSmoothlatticelifecyclemagrittrMASSMatrixmistrMLmetricsmvtnormnumDerivpillarpkgconfigpsclpurrrR6rbibutilsRcppRcppArmadilloRdpackrlangrngtoolsROCRstringistringrtibbletidyrtidyselectutf8vctrswithr