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.
#install.packages("devtools")
devtools::install_github("avila/logitModel")To read the full vignette explaining the package, run from R:
vignette("logitModel")