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ZIM4rv  

Gene‐based Association Tests of Zero‐inflated Count Phenotype for Rare Variants
View on CRAN: Click here


Download and install ZIM4rv package within the R console
Install from CRAN:
install.packages("ZIM4rv")

Install from Github:
library("remotes")
install_github("cran/ZIM4rv")

Install by package version:
library("remotes")
install_version("ZIM4rv", "0.1.1")



Attach the package and use:
library("ZIM4rv")
Maintained by
Xiaomin Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-12-19
Latest Update: 2024-12-19
Description:
Gene‐based association tests to model count data with excessive zeros and rare variants using zero-inflated Poisson/zero-inflated negative Binomial regression framework. This method was originally described by Fan, Sun, and Li in Genetic Epidemiology 46(1):73-86 <doi:10.1002/gepi.22438>.
How to cite:
Xiaomin Liu (2024). ZIM4rv: Gene‐based Association Tests of Zero‐inflated Count Phenotype for Rare Variants. R package version 0.1.1, https://cran.r-project.org/web/packages/ZIM4rv. Accessed 08 Jun. 2026.
Previous versions and publish date:
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Complete documentation for ZIM4rv
Functions, R codes and Examples using the ZIM4rv R package
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