Getting started: model.comp

Hanna Frank

2020-11-18

The model.comp helps compare performance measures of models fitted to given data. To get started, load the package as such:

library(model.comp)

Then call the compare_models() function, specifying your input data, the models you want to fit, given as a list or vector, the outputs you would like to compare, also given as a list or vector, and your eqn - the format of the models you would like to fit.

Currently, the models supported are:

  • logreg: logistic regression

The supported outputs are:

  • fitted_values: the values predicted using the fitted model for the given dataset.

An example is given below for the logreg model, using the gapminder dataset as test data:

logreg_output <- compare_models(data = gapminder::gapminder, eqn = "lifeExp ~ gdpPercap", models = c('logreg'))