RotanaRad/rotsurpackage: Conduct a Multiple Logistic Regression

This package contains 4 functions: -download_data function to import the .csv dataset from Github. -assess_normality function produces a customized visual output of a histogram to assess the distribution of continous variables. - create_journaltable produces a customized data summary table for catergorical and continuous variables with journal article asthetics. -stepwise_selection function conducts a forward selction method of predictors that produce best fit model. -summary_finalmodel function conducts a multiple logistic regression and outputs a data summary of its results. The pakcage's function is flexible to work with otherdatasets.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("RotanaRad/rotsurpackage")
RotanaRad/rotsurpackage documentation built on Dec. 18, 2021, 11:53 a.m.