Package index

All functions

GMerrorsar() summary(<Gmsar>) GMargminImage()

Spatial simultaneous autoregressive error model estimation by GMM

MCMCsamp()

MCMC sample from fitted spatial regression

ME()

Moran eigenvector GLM filtering

lagsarlm() errorsarlm() sacsarlm() summary(<Sarlm>) print(<Sarlm>) print(<summary.Sarlm>) residuals(<Sarlm>) deviance(<Sarlm>) coef(<Sarlm>) vcov(<Sarlm>) fitted(<Sarlm>)

Spatial simultaneous autoregressive model estimation by maximum likelihood

spBreg_lag() spBreg_sac() spBreg_err() impacts(<MCMC_sar_G>) impacts(<MCMC_sem_G>) impacts(<MCMC_sac_G>)

Bayesian MCMC spatial simultaneous autoregressive model estimation

lmSLX() print(<SlX>) summary(<SlX>) print(<summary.SlX>) impacts(<SlX>) print(<WXimpact>) summary(<WXimpact>) predict(<SlX>) create_WX()

Spatial Durbin linear (SLX, spatially lagged X) model

SpatialFiltering()

Semi-parametric spatial filtering

aple()

Approximate profile-likelihood estimator (APLE)

aple.mc()

Approximate profile-likelihood estimator (APLE) permutation test

aple.plot() localAple()

Approximate profile-likelihood estimator (APLE) scatterplot

do_ldet() jacobianSetup() cheb_setup() mcdet_setup() eigen_setup() eigen_pre_setup() spam_setup() spam_update_setup() Matrix_setup() Matrix_J_setup() LU_setup() LU_prepermutate_setup() moments_setup() SE_classic_setup() SE_whichMin_setup() SE_interp_setup() can.be.simmed()

Spatial regression model Jacobian computations

eigenw() griffith_sone() subgraph_eigenw()

Spatial weights matrix eigenvalues

gstsls() impacts(<Gmsar>)

Spatial simultaneous autoregressive SAC model estimation by GMM

plot(<LagImpact>) print(<LagImpact>) summary(<LagImpact>) HPDinterval(<LagImpact>) intImpacts()

Impacts in spatial lag models

invIrM() invIrW()

Compute SAR generating operator

lagmess()

Matrix exponential spatial lag model

lextrB() lextrW() lextrS() l_max()

Find extreme eigenvalues of binary symmetric spatial weights

predict(<Sarlm>) print(<Sarlm.pred>) as.data.frame(<Sarlm.pred>)

Prediction for spatial simultaneous autoregressive linear model objects

LR.Sarlm() logLik(<Sarlm>) LR1.Sarlm() Wald1.Sarlm() Hausman.test(<Sarlm>) anova(<Sarlm>) bptest.Sarlm() impacts(<Sarlm>)

Likelihood ratio test

set.mcOption() get.mcOption() set.coresOption() get.coresOption() set.ClusterOption() get.ClusterOption()

Options for parallel support

set.VerboseOption() get.VerboseOption() set.ZeroPolicyOption() get.ZeroPolicyOption()

Control checking of spatial object IDs

similar.listw()

Create symmetric similar weights lists

as.spam.listw() listw2U_spam() listw2U_Matrix() as_dgRMatrix_listw() as_dsTMatrix_listw() as_dsCMatrix_I() as_dsCMatrix_IrW() Jacobian_W() powerWeights()

Spatial neighbour sparse representation

spautolm() summary(<Spautolm>)

Spatial conditional and simultaneous autoregression model estimation

stsls() impacts(<Stsls>)

Generalized spatial two stage least squares

trW() mom_calc() mom_calc_int2()

Spatial weights matrix powers traces