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zic  

Bayesian Inference for Zero-Inflated Count Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("zic", "0.9.1")



Attach the package and use:
library("zic")
Maintained by
Markus Jochmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-10-30
Latest Update: 2017-08-22
Description:
Provides MCMC algorithms for the analysis of zero-inflated count models. The case of stochastic search variable selection (SVS) is also considered.All MCMC samplers are coded in C++ for improved efficiency. A data set considering the demand for health care is provided.
How to cite:
Markus Jochmann (2009). zic: Bayesian Inference for Zero-Inflated Count Models. R package version 0.9.1, https://cran.r-project.org/web/packages/zic. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.5-2 (2009-10-30 17:08), 0.5-3 (2010-01-28 18:05), 0.5-4 (2010-08-25 16:04), 0.6.2 (2011-12-21 18:46), 0.7.0 (2012-04-20 21:28), 0.7.5 (2012-07-31 18:06), 0.8.1 (2013-12-08 22:06), 0.9 (2015-09-04 01:07)
Other packages that cited zic R package
View zic citation profile
Other R packages that zic depends, imports, suggests or enhances
Complete documentation for zic
Functions, R codes and Examples using the zic R package
Some associated functions: docvisits . zic-internal . zic . zic.svs . 
Some associated R codes: zic.R .  Full zic package functions and examples
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