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.

1.00 score 104 downloads 1 exports 76 dependencies

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

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:ImML

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr