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Package hurdle July 2, 2017, Version 0.1 Title Overinflated and Hurdle Modelling Using Bayesian Inference Description When considering count data, it is often the case that many more zero counts than
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Researchers, data scientists, and statisticians who need to analyze data with excessive zero values or count data with excess zeros can find the 'hurdlr' package useful.
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Package hurdlr - cranr-projectorg is a software package available in the CRAN repository.
Any individual or organization looking to utilize the features of hurdlr in their R projects.
To use the hurdlr package, you can simply install it using the install.packages() function in R.
The purpose of hurdlr package is to provide tools for hurdle regression analysis in R programming language.
The hurdlr package may require input data related to the analysis you are conducting.
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