Package: GJRM.data 0.1-1
GJRM.data: Data Sets for Copula Additive Distributional Regression Using R
Data sets used in the book Marra and Radice (2025, ISBN:9781032973111) "Copula Additive Distributional Regression Using R", for illustrating the fitting of various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association.
Authors:
GJRM.data_0.1-1.tar.gz
GJRM.data_0.1-1.zip(r-4.7)GJRM.data_0.1-1.zip(r-4.6)GJRM.data_0.1-1.zip(r-4.5)
GJRM.data_0.1-1.tgz(r-4.6-any)GJRM.data_0.1-1.tgz(r-4.5-any)
GJRM.data_0.1-1.tar.gz(r-4.7-any)GJRM.data_0.1-1.tar.gz(r-4.6-any)
GJRM.data_0.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GJRM.data/json (API)
| # Install 'GJRM.data' in R: |
| install.packages('GJRM.data', repos = c('https://giampmarra.r-universe.dev', 'https://cloud.r-project.org')) |
- areds - AREDS: Age-related Eye Disease Study
- bpc - Blood pressure data in children
- cd4 - ACDIS data
- dataDE - Simulated data with two endogenous variables
- dataDSS - Simulated data with double sample selection
- happy - World Happiness Report Data
- hie - Hiring Incentive Experiment - HIE
- hiv - HIV Zambian data
- hiv.polys - HIV Zambian data
- hospital - U.S. hospital data from the state of Virginia
- infants - Infant statistic data from North Carolina
- meps - MEPS: Medical Expenditure Panel Survey
- NC.polys - Infant statistic data from North Carolina
- war - Civil war data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:24f7f29fcb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 189 | ||
| linux-release-x86_64 | OK | 111 | ||
| macos-release-arm64 | OK | 103 | ||
| macos-oldrel-arm64 | OK | 76 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 63 | ||
| wasm-release | OK | 100 |
Exports:
Dependencies:
