spareg

spareg is an R package for building ensembles of predictive generalized linear models tailored for high-dimensional data. It leverages a powerful combination of variable screening and random projection techniques to efficiently tackle large-scale modeling problems.

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Features

• Efficient modeling with large predictor sets
• Modular S3 architecture for screening and projection techniques
• Competitive predictive performance with low computational cost
• Extensible framework for custom screening and projection methods

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Installation

You can install the development version of spareg from GitHub:

# install.packages("devtools")
# devtools::install_github("lauravana/spareg")
install.packages("spareg", repos = c('https://lauravana.r-universe.dev', 'https://cloud.r-project.org'))

The CRAN version can be installed with

install.packages("spareg")