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'))

Peer review:

Datasets:
  • EastCirclePine - Volume, height, and diameter of 300 pine trees in East Circle Jammu

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 76 dependencies 138 downloads

Last updated 1 years agofrom:5ff737427d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:ImML

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr