Package: mcgf 1.1.0.9000
mcgf: Markov Chain Gaussian Fields Simulation and Parameter Estimation
Simulating and estimating (regime-switching) Markov chain Gaussian fields with covariance functions of the Gneiting class (Gneiting 2002) <doi:10.1198/016214502760047113>. It supports parameter estimation by weighted least squares and maximum likelihood methods, and produces Kriging forecasts and intervals for existing and new locations.
Authors:
mcgf_1.1.0.9000.tar.gz
mcgf_1.1.0.9000.zip(r-4.5)mcgf_1.1.0.9000.zip(r-4.4)mcgf_1.1.0.9000.zip(r-4.3)
mcgf_1.1.0.9000.tgz(r-4.4-any)mcgf_1.1.0.9000.tgz(r-4.3-any)
mcgf_1.1.0.9000.tar.gz(r-4.5-noble)mcgf_1.1.0.9000.tar.gz(r-4.4-noble)
mcgf_1.1.0.9000.tgz(r-4.4-emscripten)mcgf_1.1.0.9000.tgz(r-4.3-emscripten)
mcgf.pdf |mcgf.html✨
mcgf/json (API)
NEWS
# Install 'mcgf' in R: |
install.packages('mcgf', repos = c('https://tianxia-jia.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tianxia-jia/mcgf/issues
Last updated 5 months agofrom:ba8dc12340. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 26 2024 |
R-4.5-win | OK | Oct 26 2024 |
R-4.5-linux | OK | Oct 26 2024 |
R-4.4-win | OK | Oct 26 2024 |
R-4.4-mac | OK | Oct 26 2024 |
R-4.3-win | OK | Oct 26 2024 |
R-4.3-mac | OK | Oct 26 2024 |
Exports:acf_rsacfsacfs<-add_acfsadd_baseadd_ccfsadd_lagras.mcgf_rsbase<-ccf_rsccfsccfs<-ccovcor_cauchycor_expcor_fscor_lagr_askeycor_lagr_expcor_lagr_tricor_sepcor_statcor_stat_rscor2covcor2cov_ardistsdists<-find_distsfind_dists_newfit_basefit_lagris.mcgfis.mcgf_rskrigekrige_newlagr<-mcgfmcgf_rsmcgf_rs_simmcgf_simmodelrdistssd_rssdssds<-