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README.md
In spareg: Sparse Projected Averaged Regression
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.
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
Installation
You can install the development version of spareg from GitHub:
# install.packages("devtools")
devtools::install_github("lauravana/spareg")
The CRAN version can be installed with
install.packages("spareg")
Try the spareg package in your browser
Any scripts or data that you put into this service are public.
spareg documentation built on Aug. 8, 2025, 6:46 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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.
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
Installation
You can install the development version of spareg from GitHub:
# install.packages("devtools")
devtools::install_github("lauravana/spareg")
The CRAN version can be installed with
install.packages("spareg")
Try the spareg package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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