A B C D E F G H I J L M P R S T V W
| anova.sarlm | Likelihood ratio test |
| 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 |
| 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 |
| 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.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.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.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 |