High-Performance Open-Source Archive
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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | methods, graphics, stats, data.table, MASS |
| Published: | 2022-10-14 |
| DOI: | 10.32614/CRAN.package.twopartm |
| Author: | Yajie Duan [aut, cre], Birol Emir [aut], Griffith Bell [aut], Javier Cabrera [aut], Pfizer Inc. [cph, fnd] |
| Maintainer: | Yajie Duan <yajieritaduan at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | twopartm results |
| Reference manual: | twopartm.html , twopartm.pdf |
| Package source: | twopartm_0.1.0.tar.gz |
| Windows binaries: | r-devel: twopartm_0.1.0.zip, r-release: twopartm_0.1.0.zip, r-oldrel: twopartm_0.1.0.zip |
| macOS binaries: | r-release (arm64): twopartm_0.1.0.tgz, r-oldrel (arm64): twopartm_0.1.0.tgz, r-release (x86_64): twopartm_0.1.0.tgz, r-oldrel (x86_64): twopartm_0.1.0.tgz |
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