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EMbC  

Expectation-Maximization Binary Clustering
View on CRAN: Click here


Download and install EMbC package within the R console
Install from CRAN:
install.packages("EMbC")

Install from Github:
library("remotes")
install_github("cran/EMbC")

Install by package version:
library("remotes")
install_version("EMbC", "2.0.4")



Attach the package and use:
library("EMbC")
Maintained by
Joan Garriga
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-28
Latest Update: 2019-12-16
Description:
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").
How to cite:
Joan Garriga (2015). EMbC: Expectation-Maximization Binary Clustering. R package version 2.0.4, https://cran.r-project.org/web/packages/EMbC
Previous versions and publish date:
1.9.3 (2015-07-28 22:43), 1.9.4 (2016-03-22 00:23), 2.0.0 (2016-11-10 08:18), 2.0.1 (2018-05-07 12:32), 2.0.2 (2019-09-04 18:40), 2.0.3 (2019-12-16 20:20)
Other packages that cited EMbC R package
View EMbC citation profile
Other R packages that EMbC depends, imports, suggests or enhances
Functions, R codes and Examples using the EMbC R package
Some associated functions: EMbC_pckg . binClst-class . binClstPath-class . binClstPath_Instance . binClstStck-class . binClst_Instance . bkml . bmap . chkp . cnfm . embc . expth . lblp . lkhp . pkml . pmap . rlbl . sct3 . sctr . setc . slct . smth . stbc . stts . varp . view . x2d . 
Some associated R codes: RcppExports.R . bursting.R . classes.R . constructors.R . functions.R . kmlDoc.R . methods.R . mvbc.R . pckg.R . smoothing.R . webMap.R .  Full EMbC package functions and examples
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