Autologistic and Automultinomial Spatial Regression and Variable Selection

Documentation for package ‘automultinomial’ version 1.0.0

adjMat	Spatial adjacency matrix
centeredLogLikelihood	Centered model log pseudolikelihood
centeredLogLikGrad	Centered model gradient
centeredLogLikHess	Centered model hessian
chol_psd	Cholesky decomposition for positive semidefinite matrix
criterionFit	Minimize criterion (AIC or BIC)
indsFunction	Get indices of relevant component of theta matrix
JMatrixCentered	J matrix for centered variance estimate
JMatrixUncentered	Uncentered J matrix
logLikelihood	Compute log likelihood
MPLE	Logistic autoregression
MPLEinternal	Multinomial regression
multinomialBCD	Block coordinate descent
multProb	Multinomial probabilities
plotGrid	Visualize response values on a grid
sandwichVariance	Compute sandwich variance estimate
significanceTest	Significance tests for autologistic/automultinomial models
simulateData	Simulate data
totalX	Add columns to X matrix
uncenteredLogLikGrad	Uncentered gradient
uncenteredLogLikHess	Uncentered hessian
unStandardize	Unstandardize coefficients