Spatial Regression Models with Compositional Data

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Documentation for package ‘CompositionalSR’ version 1.1

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CompositionalSR-package Spatial Regression Models with Compositional Data
alfa.reg Regression with compositional data using the alpha-transformation
alfa.reg2 Regression with compositional data using the alpha-transformation
alfa.reg3 Regression with compositional data using the alpha-transformation
alfa.sar The alpha-SAR model
alfa.slx The alpha-SLX model
alfa.slx2 The alpha-SLX model
alfareg.nr The alpha-regression using Newton-Raphson
ar.grads The gradient vector of the alpha-regression model at each observation
asar.grads The gradient vector of the alpha-SAR model at each observation
aslx.grads The gradient vector of the alpha-SLX model at each observation
contiguity Computation of the contiguity matrix W
cv.alfareg K-fold cross-validtion the alpha-regression
cv.alfasar Spatial K-fold cross-validation for the alpha-SAR model
cv.alfaslx Spatial K-fold cross-validation for the alpha-SLX model
cv.gwar Leave-one-out cross-validation for the GWalphaR model
fadn FADN dataset
gwar The GWalphaR model
gwar.pred Prediction with the GWalphaR model
me.ar Marginal effects for the alpha-regression model
me.asar Marginal effects for the alpha-SAR model
me.aslx Marginal effects for the alpha-SLX model
me.gwar Marginal effects for the GWalphaR model
rob.alfareg Regression with compositional data using the alpha-transformation
spat.folds Spatial k-folds