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-any)SpICE_0.0.0.9000.zip(r-4.6-any)SpICE_0.0.0.9000.zip(r-4.5-any)
SpICE_0.0.0.9000.tgz(r-4.6-any)SpICE_0.0.0.9000.tgz(r-4.5-any)
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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 60 dependencies

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

TargetResultTimeFilesSyslog
linux-develNOTE142
source / vignettesOK215
linux-releaseNOTE132
macos-releaseNOTE176
macos-oldrelNOTE173
windows-develNOTE67
windows-releaseNOTE67
windows-oldrelNOTE64
wasm-releaseOK131

Exports:cl_sobcurveplot_alphaplot_clcoordplot_clcurve

Dependencies:askpassbitopsbootclassclassIntcliClustGeocpp11curlDBIdeldirdigestdplyre1071farvergenericsggmapggplot2gluegtablehttrisobandjpegjsonliteKernSmoothlabelinglatticelifecyclemagrittrmimeopensslpillarpkgconfigplyrpngproxypurrrR6RColorBrewerRcpprlangs2S7scalessfspspDataspdepstringistringrsystibbletidyrtidyselectunitsutf8vctrsviridisLitewithrwk