ImML: Machine Learning Algorithms Fitting and Validation for Forestry

Fitting and validation of machine learning algorithms for volume prediction of trees, currently for conifer trees based on diameter at breast height and height as explanatory variables.

Version: 0.1.5
Depends: R (≥ 4.1.0)
Imports: stats (≥ 4.1.0), dplyr (≥ 1.1.2), rpart (≥ 4.1.19), caret (≥ 6.0-94), randomForest (≥ 4.7-1.1), e1071 (≥ 1.7-13), ggplot2 (≥ 3.4.2), rlang (≥ 1.1.1)
Published: 2023-09-06
DOI: NA
Author: M. Iqbal Jeelani [aut], Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico at njaes.rutgers.edu>
License: GPL-3
NeedsCompilation: no
Citation: ImML citation info
Materials: NEWS
CRAN checks: ImML results

Documentation:

Reference manual: ImML.pdf

Downloads:

Package source: ImML_0.1.5.tar.gz
Windows binaries: r-devel: ImML_0.1.5.zip, r-release: ImML_0.1.5.zip, r-oldrel: ImML_0.1.5.zip
macOS binaries: r-release (arm64): ImML_0.1.5.tgz, r-oldrel (arm64): ImML_0.1.5.tgz, r-release (x86_64): ImML_0.1.5.tgz, r-oldrel (x86_64): ImML_0.1.5.tgz

Linking:

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