Package: twopartm 0.1.0
twopartm: Two-Part Model with Marginal Effects
Fit two-part regression models for zero-inflated data. The models and their components are represented using S4 classes and methods. Average Marginal effects and predictive margins with standard errors and confidence intervals can be calculated from two-part model objects. Belotti, F., Deb, P., Manning, W. G., & Norton, E. C. (2015) <doi:10.1177/1536867X1501500102>.
Authors:
twopartm_0.1.0.tar.gz
twopartm_0.1.0.zip(r-4.7)twopartm_0.1.0.zip(r-4.6)twopartm_0.1.0.zip(r-4.5)
twopartm_0.1.0.tgz(r-4.6-any)twopartm_0.1.0.tgz(r-4.5-any)
twopartm_0.1.0.tar.gz(r-4.7-any)twopartm_0.1.0.tar.gz(r-4.6-any)
twopartm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
twopartm/json (API)
| # Install 'twopartm' in R: |
| install.packages('twopartm', repos = c('https://yajie1020.r-universe.dev', 'https://cloud.r-project.org')) |
- bioChemists - Articles by Graduate Students in Biochemistry Ph.D. Programs
- meps - A Sample of Medical Expenditure Panel Survey 2004 data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f94c566708. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 119 | ||
| source / vignettes | OK | 154 | ||
| linux-release-x86_64 | OK | 126 | ||
| macos-release-arm64 | OK | 118 | ||
| macos-oldrel-arm64 | OK | 150 | ||
| windows-devel | OK | 79 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 98 | ||
| wasm-release | OK | 87 |
Exports:AMEcoefFiellerRatiologLikmarginplotpredictresidualsshowsummarytpm
Dependencies:data.tableMASS
