| AIC.spautor | Compute AIC and AICc of fitted model objects |
| AIC.splm | Compute AIC and AICc of fitted model objects |
| AIC.spmodel | Compute AIC and AICc of fitted model objects |
| AICc | Compute AIC and AICc of fitted model objects |
| AICc.spautor | Compute AIC and AICc of fitted model objects |
| AICc.splm | Compute AIC and AICc of fitted model objects |
| anova.spautor | 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.splm | Augment data with information from fitted model objects |
| augment.spmodel | Augment data with information from fitted model objects |
| caribou | A caribou forage experiment |
| coef.spautor | Extract fitted model coefficients |
| coef.splm | Extract fitted model coefficients |
| coef.spmodel | Extract fitted model coefficients |
| coefficients.spautor | Extract fitted model coefficients |
| coefficients.splm | Extract fitted model coefficients |
| confint.spautor | 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.splm | Compute Cook's distance |
| cooks.distance.spmodel | Compute Cook's distance |
| covmatrix | Create a covariance matrix |
| deviance.spautor | Fitted model deviance |
| deviance.splm | Fitted model deviance |
| deviance.spmodel | Fitted model deviance |
| esv | Compute the empirical semivariogram |
| fitted.spautor | 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.splm | Extract model fitted values |
| formula.spautor | Model formulae |
| formula.splm | Model formulae |
| formula.spmodel | Model formulae |
| glance.spautor | 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 |
| hatvalues.spautor | Compute leverage (hat) values |
| hatvalues.splm | Compute leverage (hat) values |
| hatvalues.spmodel | Compute leverage (hat) values |
| influence.spautor | Regression diagnostics |
| influence.splm | Regression diagnostics |
| influence.spmodel | Regression diagnostics |
| labels.spautor | Find labels from object |
| labels.splm | Find labels from object |
| labels.spmodel | Find labels from object |
| logLik.spautor | Extract log-likelihood |
| logLik.splm | Extract log-likelihood |
| logLik.spmodel | Extract log-likelihood |
| loocv | 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.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.splm | Extract the model matrix from a fitted model object |
| model.matrix.spmodel | Extract the model matrix from a fitted model object |
| moss | Heavy metals in mosses near a mining road in Alaska, USA |
| plot.spautor | 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.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.splm | Print values |
| print.spautor | Print values |
| print.splm | Print values |
| print.spmodel | Print values |
| print.summary.spautor | Print values |
| print.summary.splm | Print values |
| pseudoR2 | Compute a pseudo r-squared |
| pseudoR2.spautor | 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.splm | Extract fitted model residuals |
| residuals.spautor | Extract fitted model residuals |
| residuals.splm | Extract fitted model residuals |
| residuals.spmodel | Extract fitted model residuals |
| rstandard.spautor | 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 |
| splm | Fit spatial linear models |
| splmRF | Fit random forest spatial residual models |
| 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.none | Simulate a spatial normal (Gaussian) 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.splm | Summarize a fitted model object |
| summary.spmodel | Summarize a fitted model object |
| tidy.anova.spautor | 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.splm | Tidy a fitted model object |
| tidy.spmodel | Tidy a fitted model object |
| varcomp | Variability component comparison |
| varcomp.spautor | Variability component comparison |
| varcomp.splm | Variability component comparison |
| vcov.spautor | 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 |