LisaMaag/QAS: Quasi-analytical solution for logit

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.

Getting started

Package details

AuthorLisa Maag, Fabian Woerz
MaintainerLisa Maag <[email protected]>
LicenseGPL-2
Version0.2
URL https://github.com/LisaMaag/QAS
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LisaMaag/QAS")
LisaMaag/QAS documentation built on May 9, 2019, midnight