Package: mapi 1.1.5

mapi: Mapping Averaged Pairwise Information

Mapping Averaged Pairwise Information (MAPI) is an exploratory method providing graphical representations summarizing the spatial variation of pairwise metrics (eg. distance, similarity coefficient, ...) computed between georeferenced samples.

Authors:Sylvain Piry [aut, cre], Thomas Campolunghi [aut], Florent Cestier [aut], Karine Berthier [aut]

mapi_1.1.5.tar.gz
mapi_1.1.5.zip(r-4.7-x86_64)mapi_1.1.5.zip(r-4.6-x86_64)mapi_1.1.5.zip(r-4.5-x86_64)
mapi_1.1.5.tgz(r-4.6-x86_64)mapi_1.1.5.tgz(r-4.6-arm64)mapi_1.1.5.tgz(r-4.5-x86_64)mapi_1.1.5.tgz(r-4.5-arm64)
mapi_1.1.5.tar.gz(r-4.7-arm64)mapi_1.1.5.tar.gz(r-4.7-x86_64)mapi_1.1.5.tar.gz(r-4.6-arm64)mapi_1.1.5.tar.gz(r-4.6-x86_64)
mapi_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mapi/json (API)

# Install 'mapi' in R:
install.packages('mapi', repos = c('https://spiry34.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.48 score 30 scripts 435 downloads 10 exports 37 dependencies

Last updated from:8e89f045ca. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK188
linux-devel-x86_64OK165
source / vignettesOK215
linux-release-arm64OK191
linux-release-x86_64OK194
macos-release-arm64OK190
macos-release-x86_64OK319
macos-oldrel-arm64OK206
macos-oldrel-x86_64OK365
windows-develOK174
windows-releaseOK160
windows-oldrelOK165
wasm-releaseOK166

Exports:MAPI_CheckDataMAPI_EstimateHalfwidthMAPI_GridAutoMAPI_GridHexagonalMAPI_PlotMAPI_Plot2MAPI_RunAutoMAPI_RunOnGridMAPI_TailsMAPI_Varicell

Dependencies:classclassIntclicodetoolsdata.tableDBIdoParalleldplyre1071fmesherforeachgenericsglueiteratorsKernSmoothlatticelifecyclemagrittrMASSMatrixpillarpkgconfigproxyR6Rcpprlangs2sfspsplancstibbletidyselectunitsutf8vctrswithrwk