pujana-lab/systematicBNR: Set of tools defined to run systematically linear regressions with output variable normalized using bestNormalize functions

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.

Getting started

Package details

AuthorLuis Palomero
MaintainerLuis Palomero <lpalomerol@gmail.com>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("pujana-lab/systematicBNR")
pujana-lab/systematicBNR documentation built on June 15, 2020, 12:44 p.m.