Title: 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

Description: Provides routines for density and moments of the
Conway-Maxwell-Poisson distribution as well as functions for
fitting the COM-Poisson model for over/under-dispersed count
X-CRAN-Comment: Orphaned on 2020-02-02 as no response to requested

Author: K. Gerald van den Boogaart <boogaart@uni-greifswald.de>, Raimon Tolosana
Maintainer: K. Gerald van den Boogaart <boogaart@uni-greifswald.de>
Description: The package provides functions for the consistent analysis of
compositional data (e.g. portions of substances) and positive numbers
(e.g. concentrations) in the way proposed by Aitchison.
Packaged: Fri Jun 10 15:27:38 2005; boogaart

Author: K. Gerald van den Boogaart <boogaart@uni-greifswald.de>,
Raimon Tolosana, with contributions of Matevz Bren
Packaged: Fri Sep  9 16:55:22 2005; boogaart

(e.g. concentrations) in the way proposed by Aitchison and Pawlowsky-Glahn.
Packaged: Fri Apr 13 09:57:36 2007; boogaart

Author: K. Gerald van den Boogaart <support@boogaart.de>,
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>
Depends: R (>= 2.2.0), rgl, tensorA, robustbase
Packaged: Wed Mar  4 09:51:04 2009; boogaart

Author: K. Gerald van den Boogaart <support@boogaart.de>, Raimon
Depends: R (>= 2.2.0), rgl, tensorA, robustbase, energy
Description: The package provides functions for the consistent analysis
of compositional data (e.g. portions of substances) and
positive numbers (e.g. concentrations) in the way proposed by

Author: K. Gerald van den Boogaart <boogaart@hzdr.de>,
Depends: R (>= 2.2.0), tensorA, robustbase, energy, bayesm

Description: Provides functions for the consistent analysis of compositional
data (e.g. portions of substances) and positive numbers (e.g. concentrations)
in the way proposed by J. Aitchison and V. Pawlowsky-Glahn.