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Familiar is an R-package that allows for end-to-end machine learning of tabulardata, with subsequent evaluation and explanation of models.

Stable versions of familiar can be installed from CRAN.dependencies=TRUE prevents being prompted to install packages when using familiar.

install.packages("familiar", dependencies=TRUE)

Familiar can also be installed directly from the GitHub repository:

require(devtools)devtools::install_github("https://github.com/alexzwanenburg/familiar", dependencies=TRUE)

The package vignettes contain additional information concerning familiar:

• Introducing familiar

• Feature selection methods

• Learners and hyperparameter optimisation

• Model performance metrics

• Using familiar to evaluate and explain models

• Using familiar prospectively