GetNeg2loglikelihood    GetNeg2loglikelihood
GetNeg2loglikelihoodProfile
                        GetNeg2loglikelihoodProfile
GetNeg2loglikelihoodREML
                        GetNeg2loglikelihoodREML
GetNeg2loglikelihoodTaper
                        GetNeg2loglikelihoodTaper
GetNeg2loglikelihoodTaperProfile
                        GetNeg2loglikelihoodTaperProfile
coco                    Creates a coco S4 object
coco-class              An S4 class to store information
cocoOptim               Optimizer for coco objects
cocoPredict             Prediction for coco objects
cocoSim                 Marginal and conditional simulation of
                        nonstationary Gaussian processes
cocons-package          Covariate-based Covariance Functions for
                        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)
getBoundariesV4         Simple build of boundaries
getCIs                  Compute approximate confidence intervals for a
                        coco object
getCRPS                 Based on a set of predictions computes the
                        Continuous Ranked Probability Score
getCovMatrix            Covariance matrix for "coco" class
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
getLogScore             Based on a set of predictions computes the
                        Log-Score
getLoglik               Retrieve the loglikelihood value
getModHess              Retrieves the modified inverse of the hessian
getModelLists           Builds the necessary input for building
                        covariance matrices
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,coco,missing-method
                        Plot Method for coco objects
plotOptimInfo           Plot log info detailed
show                    Show Method for Coco Class
stripes                 Stripes Data Set
summary                 Summary Method for Coco Class
sumsmoothlone           smoothed-L1 penalization over the
                        covariate-driven parameters
