Package: ImHD 0.1.0
ImHD: Artificial Intelligence Based Machine Learning Algorithms for Height Diameter Relationships of Conifer Trees
Estimating height of forest plant is one of the key challenges of recent times. This package will help to fit and validate AI (Artificial Intelligence) based machine learning algorithms for estimation of height of conifer trees based on diameter at breast height as explanatory variable using algorithm of Paul et al. (2022) <doi:10.1371/journal.pone.0270553>..
Authors:
ImHD_0.1.0.tar.gz
ImHD_0.1.0.zip(r-4.5)ImHD_0.1.0.zip(r-4.4)ImHD_0.1.0.zip(r-4.3)
ImHD_0.1.0.tgz(r-4.4-any)ImHD_0.1.0.tgz(r-4.3-any)
ImHD_0.1.0.tar.gz(r-4.5-noble)ImHD_0.1.0.tar.gz(r-4.4-noble)
ImHD_0.1.0.tgz(r-4.4-emscripten)ImHD_0.1.0.tgz(r-4.3-emscripten)
ImHD.pdf |ImHD.html✨
ImHD/json (API)
# Install 'ImHD' in R: |
install.packages('ImHD', repos = c('https://imiqbal.r-universe.dev', 'https://cloud.r-project.org')) |
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:6c73083f61. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:ImHD
Dependencies:classclicolorspacedata.tablee1071fansifarverggplot2gluegtableisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrproxyR6randomForestRColorBrewerRcppreshape2rlangrpartscalesstringistringrtibbleutf8vctrsviridisLitewithrxgboost