| AICc | Compute AICc of fitted model objects | 
| anova.spautor | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| anova.spgautor | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| anova.spglm | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| anova.splm | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| anova.spmodel | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| augment.spautor | Augment data with information from fitted model objects | 
| augment.spgautor | Augment data with information from fitted model objects | 
| augment.spglm | Augment data with information from fitted model objects | 
| augment.splm | Augment data with information from fitted model objects | 
| augment.spmodel | Augment data with information from fitted model objects | 
| AUROC | Area Under Receiver Operating Characteristic Curve | 
| AUROC.spgautor | Area Under Receiver Operating Characteristic Curve | 
| AUROC.spglm | Area Under Receiver Operating Characteristic Curve | 
| caribou | A caribou forage experiment | 
| coef.spautor | Extract fitted model coefficients | 
| coef.spgautor | Extract fitted model coefficients | 
| coef.spglm | Extract fitted model coefficients | 
| coef.splm | Extract fitted model coefficients | 
| coef.spmodel | Extract fitted model coefficients | 
| coefficients.spautor | Extract fitted model coefficients | 
| coefficients.spgautor | Extract fitted model coefficients | 
| coefficients.spglm | Extract fitted model coefficients | 
| coefficients.splm | Extract fitted model coefficients | 
| confint.spautor | Confidence intervals for fitted model parameters | 
| confint.spgautor | Confidence intervals for fitted model parameters | 
| confint.spglm | Confidence intervals for fitted model parameters | 
| confint.splm | Confidence intervals for fitted model parameters | 
| confint.spmodel | Confidence intervals for fitted model parameters | 
| cooks.distance.spautor | Compute Cook's distance | 
| cooks.distance.spgautor | Compute Cook's distance | 
| cooks.distance.spglm | Compute Cook's distance | 
| cooks.distance.splm | Compute Cook's distance | 
| cooks.distance.spmodel | Compute Cook's distance | 
| covmatrix | Create a covariance matrix | 
| covmatrix.spautor | Create a covariance matrix | 
| covmatrix.spgautor | Create a covariance matrix | 
| covmatrix.spglm | Create a covariance matrix | 
| covmatrix.splm | Create a covariance matrix | 
| deviance.spautor | Fitted model deviance | 
| deviance.spgautor | Fitted model deviance | 
| deviance.spglm | Fitted model deviance | 
| deviance.splm | Fitted model deviance | 
| deviance.spmodel | Fitted model deviance | 
| dispersion_initial | Create a dispersion parameter initial object | 
| dispersion_params | Create a dispersion parameter object | 
| esv | Compute the empirical semivariogram | 
| fc_borders | Four Corners State Borders | 
| fitted.spautor | Extract model fitted values | 
| fitted.spgautor | Extract model fitted values | 
| fitted.spglm | Extract model fitted values | 
| fitted.splm | Extract model fitted values | 
| fitted.spmodel | Extract model fitted values | 
| fitted.values.spautor | Extract model fitted values | 
| fitted.values.spgautor | Extract model fitted values | 
| fitted.values.spglm | Extract model fitted values | 
| fitted.values.splm | Extract model fitted values | 
| formula.spautor | Model formulae | 
| formula.spgautor | Model formulae | 
| formula.spglm | Model formulae | 
| formula.splm | Model formulae | 
| formula.spmodel | Model formulae | 
| glance.spautor | Glance at a fitted model object | 
| glance.spgautor | Glance at a fitted model object | 
| glance.spglm | Glance at a fitted model object | 
| glance.splm | Glance at a fitted model object | 
| glance.spmodel | Glance at a fitted model object | 
| glances | Glance at many fitted model objects | 
| glances.spautor | Glance at many fitted model objects | 
| glances.spautor_list | Glance at many fitted model objects | 
| glances.spgautor | Glance at many fitted model objects | 
| glances.spgautor_list | Glance at many fitted model objects | 
| glances.spglm | Glance at many fitted model objects | 
| glances.spglm_list | Glance at many fitted model objects | 
| glances.splm | Glance at many fitted model objects | 
| glances.splm_list | Glance at many fitted model objects | 
| hatvalues.spautor | Compute leverage (hat) values | 
| hatvalues.spgautor | Compute leverage (hat) values | 
| hatvalues.spglm | Compute leverage (hat) values | 
| hatvalues.splm | Compute leverage (hat) values | 
| hatvalues.spmodel | Compute leverage (hat) values | 
| influence.spautor | Regression diagnostics | 
| influence.spgautor | Regression diagnostics | 
| influence.spglm | Regression diagnostics | 
| influence.splm | Regression diagnostics | 
| influence.spmodel | Regression diagnostics | 
| labels.spautor | Find labels from object | 
| labels.spgautor | Find labels from object | 
| labels.spglm | Find labels from object | 
| labels.splm | Find labels from object | 
| labels.spmodel | Find labels from object | 
| lake | National Lakes Assessment Data | 
| lake_preds | Lakes Prediction Data | 
| logLik.spautor | Extract log-likelihood | 
| logLik.spgautor | Extract log-likelihood | 
| logLik.spglm | Extract log-likelihood | 
| logLik.splm | Extract log-likelihood | 
| logLik.spmodel | Extract log-likelihood | 
| loocv | Perform leave-one-out cross validation | 
| loocv.spautor | Perform leave-one-out cross validation | 
| loocv.spgautor | Perform leave-one-out cross validation | 
| loocv.spglm | Perform leave-one-out cross validation | 
| loocv.splm | Perform leave-one-out cross validation | 
| model.frame.spautor | Extract the model frame from a fitted model object | 
| model.frame.spgautor | Extract the model frame from a fitted model object | 
| model.frame.spglm | Extract the model frame from a fitted model object | 
| model.frame.splm | Extract the model frame from a fitted model object | 
| model.frame.spmodel | Extract the model frame from a fitted model object | 
| model.matrix.spautor | Extract the model matrix from a fitted model object | 
| model.matrix.spgautor | Extract the model matrix from a fitted model object | 
| model.matrix.spglm | Extract the model matrix from a fitted model object | 
| model.matrix.splm | Extract the model matrix from a fitted model object | 
| model.matrix.spmodel | Extract the model matrix from a fitted model object | 
| moose | Moose counts and presence in Alaska, USA | 
| moose_preds | Locations at which to predict moose counts and presence in Alaska, USA | 
| moss | Heavy metals in mosses near a mining road in Alaska, USA | 
| plot.esv | Compute the empirical semivariogram | 
| plot.spautor | Plot fitted model diagnostics | 
| plot.spgautor | Plot fitted model diagnostics | 
| plot.spglm | Plot fitted model diagnostics | 
| plot.splm | Plot fitted model diagnostics | 
| plot.spmodel | Plot fitted model diagnostics | 
| predict.spautor | Model predictions (Kriging) | 
| predict.spautorRF | Model predictions (Kriging) | 
| predict.spautorRF_list | Model predictions (Kriging) | 
| predict.spautor_list | Model predictions (Kriging) | 
| predict.spgautor | Model predictions (Kriging) | 
| predict.spgautor_list | Model predictions (Kriging) | 
| predict.spglm | Model predictions (Kriging) | 
| predict.spglm_list | Model predictions (Kriging) | 
| predict.splm | Model predictions (Kriging) | 
| predict.splmRF | Model predictions (Kriging) | 
| predict.splmRF_list | Model predictions (Kriging) | 
| predict.splm_list | Model predictions (Kriging) | 
| predict.spmodel | Model predictions (Kriging) | 
| print.anova.spautor | Print values | 
| print.anova.spgautor | Print values | 
| print.anova.spglm | Print values | 
| print.anova.splm | Print values | 
| print.spautor | Print values | 
| print.spgautor | Print values | 
| print.spglm | Print values | 
| print.splm | Print values | 
| print.spmodel | Print values | 
| print.summary.spautor | Print values | 
| print.summary.spgautor | Print values | 
| print.summary.spglm | Print values | 
| print.summary.splm | Print values | 
| pseudoR2 | Compute a pseudo r-squared | 
| pseudoR2.spautor | Compute a pseudo r-squared | 
| pseudoR2.spgautor | Compute a pseudo r-squared | 
| pseudoR2.spglm | Compute a pseudo r-squared | 
| pseudoR2.splm | Compute a pseudo r-squared | 
| randcov_initial | Create a random effects covariance parameter initial object | 
| randcov_params | Create a random effects covariance parameter object | 
| resid.spautor | Extract fitted model residuals | 
| resid.spgautor | Extract fitted model residuals | 
| resid.spglm | Extract fitted model residuals | 
| resid.splm | Extract fitted model residuals | 
| residuals.spautor | Extract fitted model residuals | 
| residuals.spgautor | Extract fitted model residuals | 
| residuals.spglm | Extract fitted model residuals | 
| residuals.splm | Extract fitted model residuals | 
| residuals.spmodel | Extract fitted model residuals | 
| rstandard.spautor | Extract fitted model residuals | 
| rstandard.spgautor | Extract fitted model residuals | 
| rstandard.spglm | Extract fitted model residuals | 
| rstandard.splm | Extract fitted model residuals | 
| seal | Estimated harbor-seal trends from abundance data in southeast Alaska, USA | 
| spautor | Fit spatial autoregressive models | 
| spautorRF | Fit random forest spatial residual models | 
| spcov_initial | Create a spatial covariance parameter initial object | 
| spcov_params | Create a spatial covariance parameter object | 
| spgautor | Fit spatial generalized autoregressive models | 
| spglm | Fit spatial generalized linear models | 
| splm | Fit spatial linear models | 
| splmRF | Fit random forest spatial residual models | 
| sprbeta | Simulate a spatial beta random variable | 
| sprbinom | Simulate a spatial binomial random variable | 
| sprgamma | Simulate a spatial gamma random variable | 
| sprinvgauss | Simulate a spatial inverse gaussian random variable | 
| sprnbinom | Simulate a spatial negative binomial random variable | 
| sprnorm | Simulate a spatial normal (Gaussian) random variable | 
| sprnorm.car | Simulate a spatial normal (Gaussian) random variable | 
| sprnorm.exponential | Simulate a spatial normal (Gaussian) random variable | 
| sprnorm.ie | Simulate a spatial normal (Gaussian) random variable | 
| sprnorm.none | Simulate a spatial normal (Gaussian) random variable | 
| sprpois | Simulate a spatial Poisson random variable | 
| sulfate | Sulfate atmospheric deposition in the conterminous USA | 
| sulfate_preds | Locations at which to predict sulfate atmospheric deposition in the conterminous USA | 
| summary.spautor | Summarize a fitted model object | 
| summary.spgautor | Summarize a fitted model object | 
| summary.spglm | Summarize a fitted model object | 
| summary.splm | Summarize a fitted model object | 
| summary.spmodel | Summarize a fitted model object | 
| texas | Texas Turnout Data | 
| tidy.anova.spautor | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| tidy.anova.spgautor | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| tidy.anova.spglm | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| tidy.anova.splm | Compute analysis of variance and likelihood ratio tests of fitted model objects | 
| tidy.spautor | Tidy a fitted model object | 
| tidy.spgautor | Tidy a fitted model object | 
| tidy.spglm | Tidy a fitted model object | 
| tidy.splm | Tidy a fitted model object | 
| tidy.spmodel | Tidy a fitted model object | 
| varcomp | Variability component comparison | 
| varcomp.spautor | Variability component comparison | 
| varcomp.spgautor | Variability component comparison | 
| varcomp.spglm | Variability component comparison | 
| varcomp.splm | Variability component comparison | 
| vcov.spautor | Calculate variance-covariance matrix for a fitted model object | 
| vcov.spgautor | Calculate variance-covariance matrix for a fitted model object | 
| vcov.spglm | Calculate variance-covariance matrix for a fitted model object | 
| vcov.splm | Calculate variance-covariance matrix for a fitted model object | 
| vcov.spmodel | Calculate variance-covariance matrix for a fitted model object |