README.md

In mr-avila/logitModel: Simple Alternative to Logit Modelling in R

logitModel

As part of the Statistical Programming with R course ministered in the Winter Term of 2017 / 2018, the final project was to write a R package from scratch. This pacakge implements an logistic regression estimation via Maximum Likelihood Estimator based on a Newton-Rahpson algorithm. It also includes a formula interface for easier usage, a print, summary and plot S3-Methods that mimics the glm(..., family = binomial) implementation of the stats package as well as a pairs method for an overview of the interaction between the explanatory and explained variables.

Installation

#install.packages("devtools")
devtools::install_github("avila/logitModel")

Vignette

To read the full vignette explaining the package, run from R:

vignette("logitModel")

mr-avila/logitModel documentation built on July 13, 2021, 6:48 p.m.