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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>.

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

Documentation:

Reference manual: twopartm.pdf

Downloads:

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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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