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✨
card.svg |card.png
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 123 downloads 1 exports 74 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK153
source / vignettesOK196
linux-release-x86_64OK214
macos-release-arm64OK199
macos-oldrel-arm64OK213
windows-develOK120
windows-releaseOK118
windows-oldrelOK117
wasm-releaseOK130

Exports:ImML

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestRColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr