Man pages for spmodel
Spatial Statistical Modeling and Prediction
| AICc | Compute AICc of fitted model objects |
| anova.spmodel | Compute analysis of variance and likelihood ratio tests of... |
| augment.spmodel | Augment data with information from fitted model objects |
| AUROC | Area Under Receiver Operating Characteristic Curve |
| caribou | A caribou forage experiment |
| coef.spmodel | Extract fitted model coefficients |
| confint.spmodel | Confidence intervals for fitted model parameters |
| cooks.distance.spmodel | Compute Cook's distance |
| covmatrix | Create a covariance matrix |
| 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.spmodel | Extract model fitted values |
| formula.spmodel | Model formulae |
| glances | Glance at many fitted model objects |
| glance.spmodel | Glance at a fitted model object |
| hatvalues.spmodel | Compute leverage (hat) values |
| influence.spmodel | Regression diagnostics |
| labels.spmodel | Find labels from object |
| lake | National Lakes Assessment Data |
| lake_preds | Lakes Prediction Data |
| logLik.spmodel | Extract log-likelihood |
| loocv | Perform leave-one-out cross validation |
| model.frame.spmodel | Extract the model frame 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... |
| moss | Heavy metals in mosses near a mining road in Alaska, USA |
| plot.spmodel | Plot fitted model diagnostics |
| predict.spmodel | Model predictions (Kriging) |
| print.spmodel | Print values |
| pseudoR2 | Compute a pseudo r-squared |
| randcov_initial | Create a random effects covariance parameter initial object |
| randcov_params | Create a random effects covariance parameter object |
| reexports | Objects exported from other packages |
| residuals.spmodel | Extract fitted model residuals |
| seal | Estimated harbor-seal trends from abundance data in southeast... |
| 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 |
| spmodel-package | spmodel: Spatial Statistical Modeling and Prediction |
| 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 |
| 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... |
| summary.spmodel | Summarize a fitted model object |
| texas | Texas Turnout Data |
| tidy.spmodel | Tidy a fitted model object |
| varcomp | Variability component comparison |
| vcov.spmodel | Calculate variance-covariance matrix for a fitted model... |
