iolsmp

Name	iolsmp JSON
Version	1.0.0 JSON
	download
home_page
Summary	Log linear model regression and dealing with zeros
upload_time	2023-06-21 07:17:02
maintainer
docs_url	None
author	Oussama Elghodhben, Rami Znazen
requires_python
license
keywords	log linear regression
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            The Zero-Inflated Log Linear Regression package provides a set of functions and utilities to handle zero-inflated cases in log linear regression models. It offers methods for estimating model parameters, calculating predicted values, and handling clustered data. This package is particularly useful when dealing with datasets where the dependent variable has excess zeros, allowing for more accurate and robust analysis of log linear regression models. It leverages the power of numpy, statsmodels, and pandas libraries to provide efficient and reliable computations for zero-inflated log linear regression analysis.

            

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