blb4lm-package: blb4lm: Implementation of Bag of Little Bootstrap for Linear...
In yf-jiang/blb4RG: Bag of Little Bootstrap for Linear Model
Description
blb4lm allows users to perform bootstraps for every subsample of a dataset when building a linear regression model.
It is computationally efficient when dealing with a massive dataset. It returns coefficients, sigma, and prediction given new data along with their confidence intervals.
Details
The package contains function: blb4lm(), coef.blb4lm(), sigma.blb4lm(), predict.blb4lm().
Author(s)
Maintainer: Yifeng Jiang yifjiang@ucdavis.edu
Authors:
Zhihao Chen czhchen@ucdavis.edu
Other contributors:
Shenglun Wu shlwu@ucdavis.edu [contributor]
Qiushuang Xu qsxu@ucdavis.edu [contributor]
yf-jiang/blb4RG documentation built on March 25, 2020, 1:28 a.m.
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Description
blb4lm allows users to perform bootstraps for every subsample of a dataset when building a linear regression model. It is computationally efficient when dealing with a massive dataset. It returns coefficients, sigma, and prediction given new data along with their confidence intervals.
Details
The package contains function: blb4lm(), coef.blb4lm(), sigma.blb4lm(), predict.blb4lm().
Author(s)
Maintainer: Yifeng Jiang yifjiang@ucdavis.edu
Authors:
Zhihao Chen czhchen@ucdavis.edu
Other contributors:
Shenglun Wu shlwu@ucdavis.edu [contributor]
Qiushuang Xu qsxu@ucdavis.edu [contributor]
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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