| cocons-package | Covariate-based Covariance Functions for Nonstationary Gaussian Processes | 
| coco | Creates a coco S4 object | 
| coco-class | An S4 class to store information | 
| cocons | Covariate-based Covariance Functions for Nonstationary Gaussian Processes | 
| cocoOptim | Optimizer for coco objects | 
| cocoPredict | Prediction for coco objects | 
| cocoSim | Marginal and conditional simulation of nonstationary Gaussian processes | 
| cov_rns | Dense covariance function (difference parameterization) | 
| cov_rns_classic | Dense covariance function (classic parameterization) | 
| cov_rns_pred | Dense covariance function | 
| cov_rns_taper | Sparse covariance function | 
| cov_rns_taper_pred | Sparse covariance function | 
| getAIC | Retrieve AIC | 
| getBIC | Retrieve BIC | 
| getBoundaries | Simple build of boundaries | 
| getBoundariesV2 | Simple build of boundaries (v2) | 
| getBoundariesV3 | Simple build of boundaries (v3) | 
| getCIs | Compute approximate confidence intervals for a coco object | 
| getCovMatrix | Covariance matrix for "coco" class | 
| getCRPS | Based on a set of predictions computes the Continuous Ranked Probability Score | 
| getDensityFromDelta | Based on a specific taper scale (delta), retrieves the density of the covariance matrix. | 
| getDesignMatrix | Create an efficient design matrix based on a list of aspect models | 
| getEstims | Retrieve estimates from a fitted coco object | 
| getHessian | getHessian | 
| getLoglik | Retrieve the loglikelihood value | 
| getLogScore | Based on a set of predictions computes the Log-Score | 
| getModelLists | Builds the necessary input for building covariance matrices | 
| getModHess | Retrieves the modified inverse of the hessian | 
| GetNeg2loglikelihood | GetNeg2loglikelihood | 
| GetNeg2loglikelihoodProfile | GetNeg2loglikelihoodProfile | 
| GetNeg2loglikelihoodREML | GetNeg2loglikelihoodREML | 
| GetNeg2loglikelihoodTaper | GetNeg2loglikelihoodTaper | 
| GetNeg2loglikelihoodTaperProfile | GetNeg2loglikelihoodTaperProfile | 
| getScale | Fast and simple standardization for the design matrix. | 
| getSpatEffects | Evaluates the spatially-varying functions from a coco object at locs | 
| getSpatMean | Computes the spatial mean of a (fitted) coco object | 
| holes | Holes Data Set | 
| holes_bm | Holes with trend + multiple realizations Data Set | 
| is.formula | check whether an R object is a formula | 
| plot-method | Plot Method for coco objects | 
| plotOptimInfo | Plot log info detailed | 
| stripes | Stripes Data Set | 
| summary | Summary Method for Coco Class | 
| summary-method | Summary Method for Coco Class |