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mcount: Marginalized Count Regression Models

Implementation of marginalized models for zero-inflated count data. This package provides a tool to implement an estimation algorithm for the marginalized count models, which directly makes inference on the effect of each covariate on the marginal mean of the outcome. The method involves the marginalized zero-inflated Poisson model described in Long et al. (2014) <doi:10.1002/sim.6293>.

Version: 1.0.0
Depends: R (≥ 3.6)
Imports: bbmle, stats
Published: 2022-03-11
Author: Zhengyang Zhou [aut, cre] Dateng Li [aut] David Huh [aut] Eun-Young Mun [aut]
Maintainer: Zhengyang Zhou <zhengyang.zhou at unthsc.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: mcount results

Documentation:

Reference manual: mcount.pdf

Downloads:

Package source: mcount_1.0.0.tar.gz
Windows binaries: r-devel: mcount_1.0.0.zip, r-release: mcount_1.0.0.zip, r-oldrel: mcount_1.0.0.zip
macOS binaries: r-release (arm64): mcount_1.0.0.tgz, r-oldrel (arm64): mcount_1.0.0.tgz, r-release (x86_64): mcount_1.0.0.tgz, r-oldrel (x86_64): mcount_1.0.0.tgz

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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.