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. An induced compact-supported nonstationary covariance function is provided to speed up computations when handling densly sampled domains.
Authors:
cocons_0.1.3.tar.gz
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cocons.pdf |cocons.html✨
cocons/json (API)
NEWS
# Install 'cocons' in R: |
install.packages('cocons', repos = c('https://blasif.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/blasif/cocons/issues
covariance-matrixcppestimationgaussian-processeslarge-datasetnonstationarityoptimizationprediction
Last updated 14 hours agofrom:3461c0faa9. Checks:OK: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 10 2024 |
R-4.5-win-x86_64 | WARNING | Oct 10 2024 |
R-4.5-linux-x86_64 | WARNING | Oct 10 2024 |
R-4.4-win-x86_64 | WARNING | Oct 10 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 10 2024 |
R-4.4-mac-aarch64 | WARNING | Oct 10 2024 |
R-4.3-win-x86_64 | WARNING | Oct 10 2024 |
R-4.3-mac-x86_64 | WARNING | Oct 10 2024 |
R-4.3-mac-aarch64 | WARNING | Oct 10 2024 |
Exports:cocococoOptimcocoPredictcocoSimcov_rnscov_rns_classiccov_rns_predcov_rns_tapercov_rns_taper_predgetAICgetBICgetBoundariesgetBoundariesV2getBoundariesV3getCIsgetCovMatrixgetCRPSgetDesignMatrixgetEstimsgetHessiangetLoglikgetLogScoregetModelListsgetModHessGetNeg2loglikelihoodGetNeg2loglikelihoodProfileGetNeg2loglikelihoodTaperGetNeg2loglikelihoodTaperProfilegetScalegetSpatEffectsgetTrendis.formulaplotplotOptimInfosummary
Dependencies:BHdotCall64evaluatefieldshighrknitrmapsoptimParallelRcppspamviridisLitexfunyaml