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)ImML_0.1.5.zip(r-4.6)ImML_0.1.5.zip(r-4.5)
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 223 downloads 1 exports 74 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK179
linux-release-x86_64OK171
macos-release-arm64OK231
macos-oldrel-arm64OK147
windows-develOK121
windows-releaseOK110
windows-oldrelOK111
wasm-releaseOK146

Exports:ImML

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr