Package: R2BayesX 1.1-5
R2BayesX: Estimate Structured Additive Regression Models with 'BayesX'
An R interface to estimate structured additive regression (STAR) models with 'BayesX'.
Authors:
R2BayesX_1.1-5.tar.gz
R2BayesX_1.1-5.zip(r-4.5)R2BayesX_1.1-5.zip(r-4.4)R2BayesX_1.1-5.zip(r-4.3)
R2BayesX_1.1-5.tgz(r-4.4-x86_64)R2BayesX_1.1-5.tgz(r-4.4-arm64)R2BayesX_1.1-5.tgz(r-4.3-x86_64)R2BayesX_1.1-5.tgz(r-4.3-arm64)
R2BayesX_1.1-5.tar.gz(r-4.5-noble)R2BayesX_1.1-5.tar.gz(r-4.4-noble)
R2BayesX_1.1-5.tgz(r-4.4-emscripten)R2BayesX_1.1-5.tgz(r-4.3-emscripten)
R2BayesX.pdf |R2BayesX.html✨
R2BayesX/json (API)
# Install 'R2BayesX' in R: |
install.packages('R2BayesX', repos = c('https://freezenik.r-universe.dev', 'https://cloud.r-project.org')) |
- BeechBnd - Beech Location Map
- BeechGra - Beech Neighborhood Information
- FantasyBnd - Fantasy Map
- ForestHealth - Forest Health Data
- GAMart - GAM Artificial Data Set
- GermanyBnd - Germany Map
- MunichBnd - Munich Map
- ZambiaBnd - Zambia Map
- ZambiaNutrition - Determinants of Childhood Malnutrition in Zambia
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:dc85b90caf. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win-x86_64 | OK | Nov 07 2024 |
R-4.5-linux-x86_64 | OK | Nov 07 2024 |
R-4.4-win-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-x86_64 | OK | Nov 07 2024 |
R-4.4-mac-aarch64 | OK | Nov 07 2024 |
R-4.3-win-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-x86_64 | OK | Nov 07 2024 |
R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:add.neighborbayesxbayesx_logfilebayesx_prgfilebayesx_runtimebayesx.constructbayesx.controlbayesx.term.optionsbnd2grabnd2spbxoptscolorlegendcprobdelete.neighborDICdrawmapGCVget.neighborgetscriptgra2nbGRstatsnb2graparse.bayesx.inputplot2dplot3dplotblockplotmapplotnonpplotsamplesplotsurfread.bayesx.outputread.bndread.grasamplesshp2bndsliceplotsp2bndsxterm.freqswrite.bayesx.inputwrite.bndwrite.gra