A B C D E F G H I J L M P R S T V W
anova.Sarlm | Likelihood ratio test |
aple | Approximate profile-likelihood estimator (APLE) |
aple.mc | Approximate profile-likelihood estimator (APLE) permutation test |
aple.plot | Approximate profile-likelihood estimator (APLE) scatterplot |
as.data.frame.Sarlm.pred | Prediction for spatial simultaneous autoregressive linear model objects |
as.spam.listw | Spatial neighbour sparse representation |
as_dgRMatrix_listw | Spatial neighbour sparse representation |
as_dsCMatrix_I | Spatial neighbour sparse representation |
as_dsCMatrix_IrW | Spatial neighbour sparse representation |
as_dsTMatrix_listw | Spatial neighbour sparse representation |
bptest.Sarlm | Likelihood ratio test |
can.be.simmed | Spatial regression model Jacobian computations |
cheb_setup | Spatial regression model Jacobian computations |
coef.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
coef.Lagmess | Matrix exponential spatial lag model |
coef.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
coef.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
coef.Stsls | Generalized spatial two stage least squares |
coerce-method | Spatial neighbour sparse representation |
create_WX | Spatial Durbin linear (SLX, spatially lagged X) model |
deviance.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
deviance.Lagmess | Matrix exponential spatial lag model |
deviance.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
deviance.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
deviance.Stsls | Generalized spatial two stage least squares |
do_ldet | Spatial regression model Jacobian computations |
eigenw | Spatial weights matrix eigenvalues |
eigen_pre_setup | Spatial regression model Jacobian computations |
eigen_setup | Spatial regression model Jacobian computations |
errorsarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
fitted.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
fitted.Lagmess | Matrix exponential spatial lag model |
fitted.Me_res | Moran eigenvector GLM filtering |
fitted.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
fitted.SfResult | Semi-parametric spatial filtering |
fitted.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
get.ClusterOption | Options for parallel support |
get.coresOption | Options for parallel support |
get.mcOption | Options for parallel support |
get.VerboseOption | Control checking of spatial object IDs |
get.ZeroPolicyOption | Control checking of spatial object IDs |
GMargminImage | Spatial simultaneous autoregressive error model estimation by GMM |
GMerrorsar | Spatial simultaneous autoregressive error model estimation by GMM |
griffith_sone | Spatial weights matrix eigenvalues |
gstsls | Spatial simultaneous autoregressive SAC model estimation by GMM |
Hausman.test | Likelihood ratio test |
Hausman.test.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
Hausman.test.Sarlm | Likelihood ratio test |
HPDinterval.LagImpact | Impacts in spatial lag models |
impacts | Impacts in spatial lag models |
impacts.Gmsar | Spatial simultaneous autoregressive SAC model estimation by GMM |
impacts.Lagmess | Matrix exponential spatial lag model |
impacts.MCMC_sac_G | Bayesian MCMC spatial simultaneous autoregressive model estimation |
impacts.MCMC_sar_G | Bayesian MCMC spatial simultaneous autoregressive model estimation |
impacts.MCMC_sem_G | Bayesian MCMC spatial simultaneous autoregressive model estimation |
impacts.Sarlm | Likelihood ratio test |
impacts.SlX | Spatial Durbin linear (SLX, spatially lagged X) model |
impacts.Stsls | Generalized spatial two stage least squares |
intImpacts | Impacts in spatial lag models |
invIrM | Compute SAR generating operator |
invIrW | Compute SAR generating operator |
jacobianSetup | Spatial regression model Jacobian computations |
Jacobian_W | Spatial neighbour sparse representation |
lagmess | Matrix exponential spatial lag model |
lagsarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
lextrB | Find extreme eigenvalues of binary symmetric spatial weights |
lextrS | Find extreme eigenvalues of binary symmetric spatial weights |
lextrW | Find extreme eigenvalues of binary symmetric spatial weights |
listw2U_Matrix | Spatial neighbour sparse representation |
listw2U_spam | Spatial neighbour sparse representation |
lmSLX | Spatial Durbin linear (SLX, spatially lagged X) model |
localAple | Approximate profile-likelihood estimator (APLE) scatterplot |
logLik.Lagmess | Matrix exponential spatial lag model |
logLik.Sarlm | Likelihood ratio test |
logLik.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
LR.Sarlm | Likelihood ratio test |
LR1.Lagmess | Matrix exponential spatial lag model |
LR1.Sarlm | Likelihood ratio test |
LR1.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
LU_prepermutate_setup | Spatial regression model Jacobian computations |
LU_setup | Spatial regression model Jacobian computations |
l_max | Find extreme eigenvalues of binary symmetric spatial weights |
Matrix_J_setup | Spatial regression model Jacobian computations |
Matrix_setup | Spatial regression model Jacobian computations |
mcdet_setup | Spatial regression model Jacobian computations |
MCMCsamp | MCMC sample from fitted spatial regression |
MCMCsamp.Sarlm | MCMC sample from fitted spatial regression |
MCMCsamp.Spautolm | MCMC sample from fitted spatial regression |
ME | Moran eigenvector GLM filtering |
moments_setup | Spatial regression model Jacobian computations |
mom_calc | Spatial weights matrix powers traces |
mom_calc_int2 | Spatial weights matrix powers traces |
plot.LagImpact | Impacts in spatial lag models |
powerWeights | Spatial neighbour sparse representation |
predict.Sarlm | Prediction for spatial simultaneous autoregressive linear model objects |
predict.SlX | Spatial Durbin linear (SLX, spatially lagged X) model |
print.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
print.LagImpact | Impacts in spatial lag models |
print.Lagmess | Matrix exponential spatial lag model |
print.Me_res | Moran eigenvector GLM filtering |
print.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
print.Sarlm.pred | Prediction for spatial simultaneous autoregressive linear model objects |
print.SfResult | Semi-parametric spatial filtering |
print.SlX | Spatial Durbin linear (SLX, spatially lagged X) model |
print.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
print.Stsls | Generalized spatial two stage least squares |
print.summary.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
print.summary.LagImpact | Impacts in spatial lag models |
print.summary.Lagmess | Matrix exponential spatial lag model |
print.summary.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
print.summary.SlX | Spatial Durbin linear (SLX, spatially lagged X) model |
print.summary.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
print.summary.Stsls | Generalized spatial two stage least squares |
print.summary.WXimpact | Spatial Durbin linear (SLX, spatially lagged X) model |
print.WXimpact | Spatial Durbin linear (SLX, spatially lagged X) model |
residuals.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
residuals.Lagmess | Matrix exponential spatial lag model |
residuals.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
residuals.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
residuals.Stsls | Generalized spatial two stage least squares |
sacsarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
set.ClusterOption | Options for parallel support |
set.coresOption | Options for parallel support |
set.mcOption | Options for parallel support |
set.VerboseOption | Control checking of spatial object IDs |
set.ZeroPolicyOption | Control checking of spatial object IDs |
SE_classic_setup | Spatial regression model Jacobian computations |
SE_interp_setup | Spatial regression model Jacobian computations |
SE_whichMin_setup | Spatial regression model Jacobian computations |
similar.listw | Create symmetric similar weights lists |
spam_setup | Spatial regression model Jacobian computations |
spam_update_setup | Spatial regression model Jacobian computations |
SpatialFiltering | Semi-parametric spatial filtering |
spautolm | Spatial conditional and simultaneous autoregression model estimation |
spBreg_err | Bayesian MCMC spatial simultaneous autoregressive model estimation |
spBreg_lag | Bayesian MCMC spatial simultaneous autoregressive model estimation |
spBreg_sac | Bayesian MCMC spatial simultaneous autoregressive model estimation |
stsls | Generalized spatial two stage least squares |
subgraph_eigenw | Spatial weights matrix eigenvalues |
summary.Gmsar | Spatial simultaneous autoregressive error model estimation by GMM |
summary.LagImpact | Impacts in spatial lag models |
summary.Lagmess | Matrix exponential spatial lag model |
summary.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
summary.SlX | Spatial Durbin linear (SLX, spatially lagged X) model |
summary.Spautolm | Spatial conditional and simultaneous autoregression model estimation |
summary.Stsls | Generalized spatial two stage least squares |
summary.WXimpact | Spatial Durbin linear (SLX, spatially lagged X) model |
trW | Spatial weights matrix powers traces |
vcov.Sarlm | Spatial simultaneous autoregressive model estimation by maximum likelihood |
Wald1.Sarlm | Likelihood ratio test |