Learn R Programming

L1pack (version 0.52)

Routines for L1 Estimation

Description

L1 estimation for linear regression using Barrodale and Roberts' method and the EM algorithm . Estimation of mean and covariance matrix using the multivariate Laplace distribution, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution . Implementation of Naik and Plungpongpun for the Generalized spatial median estimator is included.

Copy Link

Version

Install

install.packages('L1pack')

Monthly Downloads

1,487

Version

0.52

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Felipe Osorio

Last Published

March 18th, 2025

Functions in L1pack (0.52)

WH.Laplace

Wilson-Hilferty transformation
vcov.lad

Calculate variance-covariance matrix from lad models
lad

Least absolute deviations regression
Laplace

The symmetric Laplace distribution
lad.fit

Fitter functions for least absolute deviation (LAD) regression
l1fit

Minimum absolute residual (L1) regression
lad.fit-methods

Fit a least absolute deviation (LAD) regression model
envelope.Laplace

QQ-plot with simulated envelopes
mLaplace

Multivariate Laplace distribution
ereturns

Excess returns for Martin Marietta and American Can companies
spatial.median

Computation of the generalized spatial median
confint.lad

Confidence intervals from lad models
LaplaceFit

Estimation of location and scatter using the multivariate Laplace distribution
simulate.lad

Simulate responses from lad models