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.zip(r-4.7-x86_64)crimCV_1.0.0.zip(r-4.7-arm64)crimCV_1.0.0.zip(r-4.6-x86_64)crimCV_1.0.0.zip(r-4.6-arm64)
crimCV_1.0.0.tar.gz(r-4.7-arm64)crimCV_1.0.0.tar.gz(r-4.7-x86_64)crimCV_1.0.0.tar.gz(r-4.6-arm64)crimCV_1.0.0.tar.gz(r-4.6-x86_64)
crimCV_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
crimCV/json (API)

# Install 'crimCV' in R:
install.packages('crimCV', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:
  • TO1 - Adjudicated Toronto Youth Data
  • TO1adj - Adjusted Adjudicated Toronto Youth Data
  • TO1Risk - Time-at-risk for the Adjudicated Toronto Youth Data
  • TO2 - Adjudicated Toronto Youth Data
  • TO2adj - Adjusted Adjudicated Toronto Youth Data
  • TO2Risk - Time-at-risk for the Adjudicated Toronto Youth Data

On CRAN:

Conda:

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

openblasfortranglibc

1.00 score 388 downloads 1 mentions 1 exports 0 dependencies

Last updated from:55b422fb32. Checks:9 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK114
source / vignettesOK170
linux-release-arm64OK100
linux-release-x86_64OK157
windows-devel-arm64OK182
windows-devel-x86_64OK118
windows-release-arm64WARNING170
windows-release-x86_64OK91
wasm-releaseOK111

Exports:crimCV

Dependencies: