# Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

## Documentation for package ‘cocons’ version 0.1.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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)
getBoundariesV4 | Simple build of boundaries
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
show | Show Method for Coco Class
show-method | Show Method for Coco Class
stripes | Stripes Data Set
summary | Summary Method for Coco Class
summary-method | Summary Method for Coco Class
sumsmoothlone | smoothed-L1 penalization over the covariate-driven parameters