The package provides a quasi-analytical solution for logit models. Numerical optimization for logit models is often time consuming, at least for big data. This package avoids this problem with a quasi-analytical approach. The resulting coefficients are especially suitable for imputation models, but they differ from GLM results. Therefore the coefficients are less suitable for statistical modelling and interpretation. The predictQAS-Function can be used after the main QAS.func-Function to categorize numeric variables in the same way as the QAS.func-Function for calculating the coefficients. The function can also predict values for the dependent variable based on the coefficients of QAS.func and the dataset used for categorization.
Package details |
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Author | Lisa Maag, Fabian Woerz |
Maintainer | Lisa Maag <lisa.maag@gfk.com> |
License | GPL-2 |
Version | 0.2 |
URL | https://github.com/LisaMaag/QAS |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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