This package is an unofficial companion to the textbook "Applied Logistic Regression" by D.W. Hosmer, S. Lemeshow and R.X. Sturdivant (3rd ed., 2013).
It includes all the datasets used in the book, both for easy reproducibility and algorithms benchmarking purposes.
Some analysis proposed in the text are reproduced in the examples, in order to provide data testing and code demos at the same time.
The vignette includes all the examples (with graphics too); therefore is organized per-dataset.
Datasets and variables have lower-case name with respect to the original sources. Categorical data were packaged as factor.
Regarding data coding, help pages list the internal/factor representation of the data (eg 1: No, 2: Yes), not the original one (eg 0: No, 1: Yes). This is intended to allow easier/safer recoding based on as.integer, especially for multinomial variables.
Hosmer, D.W., Lemeshow, S. and Sturdivant, R.X. (2013) Applied Logistic Regression, 3rd ed., New York: Wiley