Package: SpICE 0.0.0.9000

SpICE: An interpretable method based on ICE curves for spatial data

SpICE: An interpretable machine learning approache using ICE curves for spatial data. Compute ICE curves clusters with geographical constrains and visualization.

Authors:Natalia da Silva [aut, cre], Ignacio Alvarez [aut]

SpICE_0.0.0.9000.tar.gz
SpICE_0.0.0.9000.zip(r-4.7)SpICE_0.0.0.9000.zip(r-4.6)SpICE_0.0.0.9000.zip(r-4.5)
SpICE_0.0.0.9000.tgz(r-4.6-any)SpICE_0.0.0.9000.tgz(r-4.5-any)
SpICE_0.0.0.9000.tar.gz(r-4.7-any)SpICE_0.0.0.9000.tar.gz(r-4.6-any)
SpICE_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SpICE/json (API)

# Install 'SpICE' in R:
install.packages('SpICE', repos = c('https://natydasilva.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/natydasilva/spice/issues

Datasets:
  • coordDT - Data with location information asociated to ice curves values
  • curveDT - Data with ICE curve information

On CRAN:

Conda:

1.70 score 4 scripts 4 exports 61 dependencies

Last updated from:0e5431103d. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE130
source / vignettesOK235
linux-release-x86_64NOTE132
macos-release-arm64NOTE119
macos-oldrel-arm64NOTE157
windows-develNOTE64
windows-releaseNOTE69
windows-oldrelNOTE74
wasm-releaseOK153

Exports:cl_sobcurveplot_alphaplot_clcoordplot_clcurve

Dependencies:askpassbitopsbootclassclassIntcliClustGeocpp11curlDBIdeldirdigestdplyre1071farvergenericsggmapggplot2gluegtablehttrisobandjpegjsonliteKernSmoothlabelinglatticelifecyclemagrittrMASSmimeopensslpillarpkgconfigplyrpngproxypurrrR6RColorBrewerRcpprlangs2S7scalessfspspDataspdepstringistringrsystibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk