mcount

Marginalized Count Regression Models

v1.0.0 · Mar 11, 2022 · GPL-3

Description

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>.

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2 NOTE

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	NOTE	72.3s
r-devel-linux-x86_64-debian-gcc	NOTE	54.4s
r-devel-linux-x86_64-fedora-clang	OK	108.8s
r-devel-linux-x86_64-fedora-gcc	OK	105.1s
r-devel-macos-arm64	OK	20s
r-devel-windows-x86_64	OK	79s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	49s
r-oldrel-windows-x86_64	OK	96s
r-patched-linux-x86_64	OK	68.8s
r-release-linux-x86_64	OK	66.5s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	69s
r-release-windows-x86_64	OK	78s

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NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Zhengyang Zhou <zhengyang.zhou@unthsc.edu>’

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NOTE r-devel-linux-x86_64-debian-gcc

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Maintainer: ‘Zhengyang Zhou <zhengyang.zhou@unthsc.edu>’

No Authors@R field in DESCRIPTION.
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Zhengyang Zhou <zhengyang.zhou@unthsc.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Zhengyang",
                    family = "Zhou",
                    role = c("aut", "cre"),
                    email = "zhengyang.zhou@unthsc.edu")
as necessary.

NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Zhengyang Zhou <zhengyang.zhou@unthsc.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Zhengyang",
                    family = "Zhou",
                    role = c("aut", "cre"),
                    email = "zhengyang.zhou@unthsc.edu")
as necessary.

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Version History

new 1.0.0 Mar 10, 2026