Package: EMbC 2.0.4

EMbC: Expectation-Maximization Binary Clustering

Unsupervised, multivariate, binary clustering for meaningful annotation of data, taking into account the uncertainty in the data. A specific constructor for trajectory analysis in movement ecology yields behavioural annotation of trajectories based on estimated local measures of velocity and turning angle, eventually with solar position covariate as a daytime indicator, ("Expectation-Maximization Binary Clustering for Behavioural Annotation").

Authors:Joan Garriga, John R.B. Palmer, Aitana Oltra, Frederic Bartumeus

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EMbC.pdf |EMbC.html✨
EMbC/json (API)
NEWS

# Install 'EMbC' in R:
install.packages('EMbC', repos = c('https://jgarriga65.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • expth - Synthetic path used in the examples
  • x2d - Synthetic 2D object used in the examples

On CRAN:

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

19 exports 2.27 score 19 dependencies 10 mentions 43 scripts 307 downloads

Last updated 12 months agofrom:8c4a8b218b. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-win-x86_64WARNINGSep 01 2024
R-4.5-linux-x86_64WARNINGSep 01 2024
R-4.4-win-x86_64WARNINGSep 01 2024
R-4.4-mac-x86_64WARNINGSep 01 2024
R-4.4-mac-aarch64WARNINGSep 01 2024
R-4.3-win-x86_64WARNINGSep 01 2024
R-4.3-mac-x86_64WARNINGSep 01 2024
R-4.3-mac-aarch64WARNINGSep 01 2024

Exports:bkmlbmapchkpcnfmembclblplkhppkmlpmaprlblsct3sctrsetcslctsmthstbcsttsvarpview

Dependencies:classclassIntDBIe1071KernSmoothlatticemagrittrMASSmnormtproxyRColorBrewerRcppRcppArmadillos2sfspsuntoolsunitswk

The EMbC R-package: quick reference

J.Garriga; F.Bartumeus ICREA Movement Ecology Laboratory (CEAB-CSIC) [email protected]

Rendered fromEMbC_qckref.Rmdusingknitr::rmarkdownon Sep 01 2024.

Last update: 2023-10-03
Started: 2015-06-30

Readme and manuals

Help Manual

Help pageTopics
Expectation-Maximization binary Clustering package.EMbC-package EMbC
binClst Instance definitionbinClst_instance
Binary Clustering ClassbinClst-class
binClstPath Instance definitionbinClstPath_instance
Binary Clustering Path ClassbinClstPath-class
Binary Clustering Stack ClassbinClstStck-class
Generate a burstwise .kml file of a binClstPath_instance.bkml bkml,binClstPath-method
Generate an HTML burstwise webmap of a binClstPath_instance.bmap bmap,binClstPath-method
Check labeling profilechkp chkp,binClst-method
Confusion matrixcnfm cnfm,binClst,binClst-method cnfm,binClst,numeric-method cnfm,binClstPath,missing-method cnfm,binClstStck,missing-method
General pourpose multivariate binary Clustering (EMbC)embc
Synthetic path used in the examplesexpth
labeling profile plotlblp lblp,binClst,binClst-method lblp,binClst,missing-method lblp,binClst,numeric-method lblp,binClstStck,missing-method
Likelihood profile plotslkhp lkhp,binClst-method lkhp,list-method
Generate a pointwise .kml file of a binClstPath_instancepkml pkml,binClstPath-method
Generate an HTML pointwise webmap of a binClstPath_instance.pmap pmap,binClstPath-method
Manual relabeling of clusters.rlbl rlbl,binClst-method
Dynamic 3D-scatterplotsct3 sct3,binClst-method
Clustering 2D-scatterplotsctr sctr,binClst-method sctr,binClstStck-method
Sets binClst color palette .setc
Select a single path from a 'binClstStck' instance.slct
Posterior smoothing of single local labels.smth smth,binClst-method smth,binClstStck-method
speed/turn bivariate binary Clustering.stbc
Clustering statistics.stts stts,binClst-method stts,binClstStck-method
Variables' profile plotsvarp varp,binClstPath-method varp,matrix-method
Path fast viewview view,binClstPath-method view,data.frame-method
Synthetic 2D object used in the examplesx2d