| AIC.spmod | Compute spatial AIC and AICc of fitted model objects |
| AICc | Compute spatial AIC and AICc of fitted model objects |
| AICc.spmod | Compute spatial AIC and AICc of fitted model objects |
| anova.spmod | Compute analysis of variance and likelihood ratio tests of fitted model objects |
| augment.spmod | Augment data with information from fitted model objects |
| caribou | A caribou forage experiment |
| coef.spmod | Extract fitted model coefficients |
| coefficients.spmod | Extract fitted model coefficients |
| confint.spmod | Confidence intervals for fitted model parameters |
| cooks.distance.spmod | Compute Cook's distance |
| deviance.spmod | Fitted model deviance |
| esv | Compute the empirical semivariogram |
| fitted.spmod | Extract model fitted values |
| fitted.values.spmod | Extract model fitted values |
| formula.spmod | Model formulae |
| glance.spmod | Glance at a fitted model object |
| glances | Glance at many fitted model objects |
| hatvalues.spmod | Compute leverage (hat) values |
| influence.spmod | Regression diagnostics |
| labels.spmod | Find labels from object |
| logLik.spmod | Extract log-likelihood |
| loocv | Perform leave-one-out cross validation |
| loocv.spmod | Perform leave-one-out cross validation |
| model.frame.spmod | Extract the model frame from a fitted model object |
| model.matrix.spmod | Extract the model matrix from a fitted model object |
| moss | Heavy metals in mosses near a mining road in Alaska, USA |
| plot.spmod | Plot fitted model diagnostics |
| predict.spmod | Model predictions (Kriging) |
| print.anova.spmod | Print values |
| print.spmod | Print values |
| print.summary.spmod | Print values |
| pseudoR2 | Compute a pseudo r-squared |
| pseudoR2.spmod | 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.spmod | Extract fitted model residuals |
| residuals.spmod | Extract fitted model residuals |
| rstandard.spmod | Extract fitted model residuals |
| seal | Estimated harbor-seal trends from abundance data in southeast Alaska, USA |
| spautor | Fit spatial autoregressive models |
| spcov_initial | Create a spatial covariance parameter initial object |
| spcov_params | Create a spatial covariance parameter object |
| splm | Fit spatial linear 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.spmod | Summarize a fitted model object |
| tidy.anova.spmod | Compute analysis of variance and likelihood ratio tests of fitted model objects |
| tidy.spmod | Tidy a fitted model object |
| vcov.spmod | Calculate variance-covariance matrix for a fitted model object |