AIC.spmod | Compute AIC and AICc of fitted model objects |
AICc | Compute AIC and AICc of fitted model objects |
AICc.spmod | Compute 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 |
covmatrix | Create a covariance matrix |
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) |
predict.spmodRF | Random forest spatial residual model predictions (random forest regression Kriging) |
predict.spmodRF_list | Random forest spatial residual model predictions (random forest regression Kriging) |
predict.spmod_list | 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 |
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.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 |