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:Dr. M. Iqbal Jeelani [aut, cre], Dr. Fehim Jeelani [aut], Dr. Shakeel Ahmad Mir [aut], Dr. Syed Naseem Geelani [aut], Dr. Mushtaq Ahmad Lone [aut], Dr. Asif Ali [aut], Dr. Tahir Mushtaq [aut], Dr. Amir Bhat [aut], Dr. Md Yeasin [aut]

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.09 score 41 dependencies 224 downloads

Last updated 1 years agofrom:6c73083f61. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:ImHD

Dependencies:classclicolorspacedata.tablee1071fansifarverggplot2gluegtableisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrproxyR6randomForestRColorBrewerRcppreshape2rlangrpartscalesstringistringrtibbleutf8vctrsviridisLitewithrxgboost