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biglasso (version 1.5.2)

Extending Lasso Model Fitting to Big Data

Description

Extend lasso and elastic-net model fitting for ultra high-dimensional, multi-gigabyte data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data analysis even on an ordinary laptop.

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Version

Install

install.packages('biglasso')

Monthly Downloads

1,675

Version

1.5.2

License

GPL-3

Issues

21

Pull Requests

0

Stars

114

Forks

30

Maintainer

Patrick Breheny

Last Published

October 5th, 2022

Functions in biglasso (1.5.2)

predict.cv.biglasso

Model predictions based on a fitted cv.biglasso object
plot.biglasso

Plot coefficients from a "biglasso" object
predict.biglasso

Model predictions based on a fitted biglasso object
colon

Gene expression data from colon-cancer patients
loss.biglasso

Internal biglasso functions
cv.biglasso

Cross-validation for biglasso
biglasso

Fit lasso penalized regression path for big data
biglasso-package

Extending Lasso Model Fitting to Big Data
plot.mbiglasso

Plot coefficients from a "mbiglasso" object
setupX

Set up design matrix X by reading data from big data file
plot.cv.biglasso

Plots the cross-validation curve from a "cv.biglasso" object
summary.cv.biglasso

Summarizing inferences based on cross-validation