| 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 |
| 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 |