steppebird/sparsegdm: Package for performing sparse generalized dissimilarity model including tools for gdm

Sparse generalized dissimilarity modeling (SGDM) is a two-stage method consisting of initially reducing the environmental data by means of a sparse canonical correlation analysis, to then fit the resulting sparse canonical components in a generalized dissimilarity model (GDM). The package also includes additional tools, useful for both GDM and SGDM.

Getting started

Package details

AuthorPedro J. Leitão, Marcel Schwieder, Cornelius Senf
MaintainerPedro J. Leitão <[email protected]>, Cornelius Senf <[email protected]>
LicenseGPL-3
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("steppebird/sparsegdm")
steppebird/sparsegdm documentation built on Feb. 14, 2018, 12:12 a.m.