README.md
In ebalderama/hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference
hurdlr
This is a package for modeling zero-inflated count data in a Bayesian hierarchical regression framework. The package will unify many of the basic zero-inflated and hurdle models such as ZIP and ZINB, but the main unique feature of the package is the functionality to perform a double-hurdle model, used to fit data that are simultaneously zero-inflated and extremely overdispersed.
ebalderama/hurdlr documentation built on June 5, 2020, 12:32 a.m.
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hurdlr
This is a package for modeling zero-inflated count data in a Bayesian hierarchical regression framework. The package will unify many of the basic zero-inflated and hurdle models such as ZIP and ZINB, but the main unique feature of the package is the functionality to perform a double-hurdle model, used to fit data that are simultaneously zero-inflated and extremely overdispersed.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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