Package: crimCV 1.0.0

Jason D. Nielsen

crimCV: Group-Based Modelling of Longitudinal Data

A finite mixture of Zero-Inflated Poisson (ZIP) models for analyzing criminal trajectories.

Authors:Jason D. Nielsen <[email protected]>

crimCV_1.0.0.tar.gz
crimCV_1.0.0.tar.gz(r-4.5-noble)crimCV_1.0.0.tar.gz(r-4.4-noble)
crimCV_1.0.0.tgz(r-4.4-emscripten)crimCV_1.0.0.tgz(r-4.3-emscripten)
crimCV.pdf |crimCV.html✨
crimCV/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • TO1 - Adjudicated Toronto Youth Data
  • TO1Risk - Time-at-risk for the Adjudicated Toronto Youth Data
  • TO1adj - Adjusted Adjudicated Toronto Youth Data
  • TO2 - Adjudicated Toronto Youth Data
  • TO2Risk - Time-at-risk for the Adjudicated Toronto Youth Data
  • TO2adj - Adjusted Adjudicated Toronto Youth Data

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

fortranopenblas

1.11 score 13 scripts 420 downloads 1 mentions 1 exports 0 dependencies

Last updated 1 years agofrom:55b422fb32. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64OKDec 01 2024

Exports:crimCV

Dependencies: