Package: mapi 1.0.5

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_1.0.5.tar.gz
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mapi.pdf |mapi.html✨
mapi/json (API)
NEWS

# Install 'mapi' in R:
install.packages('mapi', repos = c('https://spiry34.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

2.06 score 23 scripts 242 downloads 9 exports 15 dependencies

Last updated 3 years agofrom:51847b7697. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 22 2024
R-4.5-win-x86_64OKOct 22 2024
R-4.5-linux-x86_64OKOct 22 2024
R-4.4-win-x86_64OKOct 22 2024
R-4.4-mac-x86_64OKOct 22 2024
R-4.4-mac-aarch64OKOct 22 2024
R-4.3-win-x86_64OKOct 22 2024
R-4.3-mac-x86_64OKOct 22 2024
R-4.3-mac-aarch64OKOct 22 2024

Exports:MAPI_CheckDataMAPI_EstimateHalfwidthMAPI_GridAutoMAPI_GridHexagonalMAPI_PlotMAPI_Plot2MAPI_RunAutoMAPI_RunOnGridMAPI_Tails

Dependencies:classclassIntdata.tableDBIe1071KernSmoothmagrittrMASSpbapplyproxyRcpps2sfunitswk