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
ImML_0.1.5.zip(r-4.7-any)ImML_0.1.5.zip(r-4.6-any)ImML_0.1.5.zip(r-4.5-any)
ImML_0.1.5.tgz(r-4.6-any)ImML_0.1.5.tgz(r-4.5-any)
ImML_0.1.5.tar.gz(r-4.7-any)ImML_0.1.5.tar.gz(r-4.6-any)
ImML_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ImML/json (API)

# 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 243 downloads 1 exports 74 dependencies

Last updated from:5ff737427d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK167
source / vignettesOK193
linux-releaseOK181
macos-releaseOK193
macos-oldrelOK197
windows-develOK107
windows-releaseOK113
windows-oldrelOK93
wasm-releaseOK127

Exports:ImML

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr