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pawls (version 1.0.0)

Penalized Adaptive Weighted Least Squares Regression

Description

Efficient algorithms for fitting weighted least squares regression with \eqn{L_{1}}{L1} regularization on both the coefficients and weight vectors, which is able to perform simultaneous variable selection and outliers detection efficiently.

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Version

Install

install.packages('pawls')

Monthly Downloads

1

Version

1.0.0

License

GPL-2

Maintainer

Bin Luo

Last Published

May 11th, 2017

Functions in pawls (1.0.0)

pawls

Penalized adaptive weighted least squares regression