Package: cocons 0.1.3

Federico Blasi

cocons: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

Estimation and prediction of nonstationary Gaussian process with modular covariate-based covariance functions. A sparse-induced version of the nonstationary covariance function is provided to speed up computations for large datasets.

Authors:Federico Blasi [aut, cre], Reinhard Furrer [ctb]

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NEWS

# Install 'cocons' in R:
install.packages('cocons', repos = c('https://blasif.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/blasif/cocons/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

covariance-estimationcovariance-matrixcppestimationgaussian-processeslarge-datasetnonstationarityoptimizationprediction

36 exports 2 stars 1.54 score 13 dependencies 1 scripts 424 downloads

Last updated 23 hours agofrom:f076e07719. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-win-x86_64WARNINGSep 17 2024
R-4.5-linux-x86_64WARNINGSep 17 2024
R-4.4-win-x86_64WARNINGSep 17 2024
R-4.4-mac-x86_64WARNINGSep 17 2024
R-4.4-mac-aarch64WARNINGSep 17 2024
R-4.3-win-x86_64WARNINGSep 17 2024
R-4.3-mac-x86_64WARNINGSep 17 2024
R-4.3-mac-aarch64WARNINGSep 17 2024

Exports:cocococoOptimcocoPredictcocoSimcov_rnscov_rns_classiccov_rns_predcov_rns_tapercov_rns_taper_predgetAICgetBICgetBoundariesgetBoundariesV2getBoundariesV3getCIsgetCondNumbergetCovMatrixgetCRPSgetDesignMatrixgetEstimsgetHessiangetLoglikgetLogScoregetModelListsgetModHessGetNeg2loglikelihoodGetNeg2loglikelihoodProfileGetNeg2loglikelihoodTaperGetNeg2loglikelihoodTaperProfilegetScalegetSpatEffectsgetTrendis.formulaplotplotOptimInfosummary

Dependencies:BHdotCall64evaluatefieldshighrknitrmapsoptimParallelRcppspamviridisLitexfunyaml

cocons-vignette

Rendered fromcocons.Rnwusingutils::Sweaveon Sep 17 2024.

Last update: 2024-07-22
Started: 2024-07-22

Readme and manuals

Help Manual

Help pageTopics
Covariate-based Covariance Functions for Nonstationary Gaussian Processescocons-package cocons
Creates a coco S4 objectcoco
An S4 class to store informationcoco-class
Optimizer for nonstationary spatial modelscocoOptim
Prediction routines for nonstationary spatial modelscocoPredict
Marginal and conditional simulation of nonstationary Gaussian processcocoSim
Dense covariance function (difference parameterization)cov_rns
Dense covariance function (classic parameterization)cov_rns_classic
Dense covariance functioncov_rns_pred
Sparse covariance functioncov_rns_taper
Sparse covariance functioncov_rns_taper_pred
Retrieve AICgetAIC
Retrieve BICgetBIC
Simple build of boundariesgetBoundaries
Simple build of boundaries (v2)getBoundariesV2
Simple build of boundaries (v3)getBoundariesV3
Compute Confidence Intervals for a coco objectgetCIs
Condition number for (fitted) coco objectsgetCondNumber
Covariance matrix for "coco" classgetCovMatrix
Based on a set of predictions computes the Continuous Ranked Probability ScoregetCRPS
Create an efficient design matrix based on a list of aspect modelsgetDesignMatrix
Retrieve estimates from a fitted coco objectgetEstims
getHessiangetHessian
Retrieve the loglikelihood valuegetLoglik
Based on a set of predictions computes the Log-ScoregetLogScore
Builds the necessary input for building covariance matricesgetModelLists
Retrieves the modified inverse of the hessiangetModHess
GetNeg2loglikelihoodGetNeg2loglikelihood
GetNeg2loglikelihoodProfileGetNeg2loglikelihoodProfile
GetNeg2loglikelihoodTaperGetNeg2loglikelihoodTaper
GetNeg2loglikelihoodTaperProfileGetNeg2loglikelihoodTaperProfile
Fast and simple standardization for the design matrix.getScale
Evaluates the spatially-varying functions from a coco object at locsgetSpatEffects
Computes the spatial trend of a (fitted) coco objectgetTrend
Holes Data Setholes
check whether an object belongs to a formula classis.formula
Plot Method for Coco Classplot,coco,missing-method plot,coco-method
Plot log info detailedplotOptimInfo
Show Method for Coco Classshow show,coco-method
Stripes Data Setstripes
Summary Method for Coco Classsummary summary,coco-method