Package: ImML 0.1.5

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.

Authors:M. Iqbal Jeelani [aut], Salvatore Mangiafico [aut, cre]

ImML_0.1.5.tar.gz
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ImML.pdf |ImML.html
ImML/json (API)
NEWS

# Install 'ImML' in R:
install.packages('ImML', repos = c('https://salvatoremangiafico.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • EastCirclePine - Volume, height, and diameter of 300 pine trees in East Circle Jammu

On CRAN:

Conda:

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

1.00 score 1 stars 133 downloads 1 exports 77 dependencies

Last updated 2 years agofrom:5ff737427d. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winOKFeb 28 2025
R-4.5-macOKFeb 28 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKFeb 28 2025
R-4.4-macOKFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:ImML

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr