This package has been developed to allow running systematically linear regression for a group of varaibles easily. These regressions can be adjusted by a group of predefined covaraibles. Before running each regression three big steps are applied: - First of all we have removed users with empty data values and covariables without variability. - Then we have applied bestNormalize regression pipeline to output variable - Thirt step implies the application of Stepwise AIC pipeline to eliminate covariables potentially non informative. The main function output (systematic_regression) returns the results as 1-row data.frame object, ideally defined to run inside a loop.
Package details |
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Author | Luis Palomero |
Maintainer | Luis Palomero <lpalomerol@gmail.com> |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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