CompositionalSR (version 1.0)

Spatial Regression Models with Compositional Data

Description

Spatial regression models with compositional responses using the alpha--transformation. Relevant papers include: Tsagris M. (2025), , Tsagris M. (2015), , Tsagris M.T., Preston S. and Wood A.T.A. (2011), .

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Version

Install

install.packages('CompositionalSR')

Monthly Downloads

168

Version

1.0

License

GPL (>= 2)

Maintainer

Michail Tsagris

Last Published

October 23rd, 2025

Functions in CompositionalSR (1.0)

Leave-one-out cross-validation for the alpha-SLX model

Leave-one-out cross-validation for the \(\alpha\)-SLX model

fadn

FADN dataset

The alpha-SLX model

The \(\alpha\)-SLX model

CompositionalSR-package

Spatial Regression Models with Compositional Data

Prediction with the GWalphaR model

Prediction with the GW\(\alpha\)R model

Leave-one-out cross-validation for the GWalphaR model

Leave-one-out cross-validation for the GW\(\alpha\)R model

Tuning the value of alpha in the alpha-regression

Tuning the value of \(\alpha\) in the \(\alpha\)-regression

Regression with compositional data using the alpha-transformation

Regression with compositional data using the \(\alpha\)-transformation

Computation of the contiguity matrix W

The GWalphaR model

The GW\(\alpha\)R model

Marginal effects for the alpha-SLX model

Marginal effects for the \(\alpha\)-SLX model

Marginal effects for the alpha-regression model

Marginal effects for the \(\alpha\)-regression model

Spatial k-folds

Marginal effects for the GWalphaR model

Marginal effects for the GW\(\alpha\)R model