Learn R Programming

complmrob (version 0.7.1)

Robust Linear Regression with Compositional Data as Covariates

Description

Robust regression methods for compositional data. The distribution of the estimates can be approximated with various bootstrap methods. These bootstrap methods are available for the compositional as well as for standard robust regression estimates. This allows for direct comparison between them.

Copy Link

Version

Install

install.packages('complmrob')

Monthly Downloads

447

Version

0.7.1

License

GPL (>= 2)

Issues

0

Pull Requests

0

Stars

0

Forks

0

Maintainer

David Kepplinger

Last Published

April 14th, 2025

Functions in complmrob (0.7.1)

print-methods

Print the object
plot.complmrob

Diagnostic plots for the robust regression model with compositional covariates
bootcoefs

Bootstrap the regression coefficients for a robust linear regression model
print.summary.complmrob

Print the summary information
plot.bootcoefs

Plot the distribution of the bootstrap estimates
confint.bccomplmrob

Calculate confidence intervals
complmrob

MM-type estimators for linear regression on compositional data
bootStat-methods

Bootstrap statistics functions
summary-methods

Get summary information
isomLR

(Inverse) Isometric log-ratio transformation for compositional data