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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>..
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, randomForest, e1071, xgboost, ggplot2, reshape2, rpart |
| Published: | 2023-09-12 |
| Author: | 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] |
| Maintainer: | Dr. M. Iqbal Jeelani <jeelani.miqbal at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ImHD results |
| Reference manual: | ImHD.pdf |
| Package source: | ImHD_0.1.0.tar.gz |
| Windows binaries: | r-devel: ImHD_0.1.0.zip, r-release: ImHD_0.1.0.zip, r-oldrel: ImHD_0.1.0.zip |
| macOS binaries: | r-release (arm64): ImHD_0.1.0.tgz, r-oldrel (arm64): ImHD_0.1.0.tgz, r-release (x86_64): ImHD_0.1.0.tgz, r-oldrel (x86_64): ImHD_0.1.0.tgz |
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