A B C D E F G H I L M P R S T V
AIC.spautor | Compute AIC and AICc of fitted model objects |
AIC.spgautor | Compute AIC and AICc of fitted model objects |
AIC.spglm | 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.spgautor | Compute AIC and AICc of fitted model objects |
AICc.spglm | 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.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 |
BIC.spautor | Compute BIC of fitted model objects |
BIC.spgautor | Compute BIC of fitted model objects |
BIC.spglm | Compute BIC of fitted model objects |
BIC.splm | Compute BIC of fitted model objects |
BIC.spmodel | Compute BIC of fitted model objects |
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 |
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.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.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 |
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 |