Other packages > Find by keyword >

segclust2d  

Bivariate Segmentation/Clustering Methods and Tools
View on CRAN: Click here


Download and install segclust2d package within the R console
Install from CRAN:
install.packages("segclust2d")

Install from Github:
library("remotes")
install_github("cran/segclust2d")

Install by package version:
library("remotes")
install_version("segclust2d", "0.3.3")



Attach the package and use:
library("segclust2d")
Maintained by
Remi Patin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-23
Latest Update: 2024-04-24
Description:
Provides two methods for segmentation and joint segmentation/clustering of bivariate time-series. Originally intended for ecological segmentation (home-range and behavioural modes) but easily applied on other series, the package also provides tools for analysing outputs from R packages 'moveHMM' and 'marcher'. The segmentation method is a bivariate extension of Lavielle's method available in 'adehabitatLT' (Lavielle, 1999 and 2005 ). This method rely on dynamic programming for efficient segmentation. The segmentation/clustering method alternates steps of dynamic programming with an Expectation-Maximization algorithm. This is an extension of Picard et al (2007) method (formerly available in 'cghseg' package) to the bivariate case. The method is fully described in Patin et al (2018) .
How to cite:
Remi Patin (2018). segclust2d: Bivariate Segmentation/Clustering Methods and Tools. R package version 0.3.3, https://cran.r-project.org/web/packages/segclust2d. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2018-02-23 20:25), 0.2.0 (2019-02-27 18:00), 0.3.0 (2021-10-11 10:10), 0.3.1 (2023-08-21 10:50)
Other packages that cited segclust2d R package
View segclust2d citation profile
Other R packages that segclust2d depends, imports, suggests or enhances
Complete documentation for segclust2d
Functions, R codes and Examples using the segclust2d R package
Some associated functions: DynProg . DynProg_algo_cpp . EM.algo_simultanee . EM.algo_simultanee_Cpp . EM.init_simultanee . Estep_simultanee . Gmean_simultanee . Gmixt_algo_cpp . Gmixt_simultanee . Gmixt_simultanee_fullcpp . Mstep_simultanee . Mstep_simultanee_cpp . add_covariates . angular_speed . apply_rowSums . apply_subsampling . argcheck_Kmax . argcheck_diag.var . argcheck_lmin . argcheck_ncluster . argcheck_order.var . argcheck_ordering . argcheck_scale.variable . argcheck_seg.var . argcheck_segclust . argcheck_segmentation . argcheck_type_coord . arma_repmat . augment . bisig_plot . calc_BIC . calc_dist . calc_speed . calc_stat_states . check_repetition . choose_kmax . chooseseg_lavielle . colsums_sapply . cumsum_cpp . find_mu_sd . hybrid_simultanee . initialisePhi . likelihood . logdens_simultanee . map_segm . matrixRupt . neighborsbis . plot_segm . plot_states . prep_segm . prep_segm_HMM . prep_segm_shiftfit . prepare_HMM . prepare_shiftfit . relabel_states . repmat . ruptAsMat . segclust . segclust2d . segclust_internal . segmap_list . segmentation-class . segmentation . simulmode . simulshift . spatial_angle . stat_segm . stat_segm_HMM . stat_segm_shiftfit . subsample_rename . test_data . wrap_dynprog_cpp . 
Some associated R codes: Ex_data.R . RcppExports.R . SegTraj_EM_cpp.R . augment_generic.R . choose_Kmax.R . function_checks.R . function_map_plot.R . function_prepare.R . function_series_plot.R . function_states_plot.R . likelihood_generic.R . prepare_HMM.R . prepare_covariates.R . prepare_shiftfit.R . segTraj_DynProg.R . segTraj_EM.algo_simultanee.R . segTraj_EM.init_simultanee.R . segTraj_Estep_simultanee.R . segTraj_Gmean_simultanee.R . segTraj_Gmixt_simultanee.R . segTraj_Mstep_simultanee.R . segTraj_hybrid_simultanee.R . segTraj_initialisePhi.R . segTraj_logdens_simultanee.R . segTraj_neighborsbis.R . segTraj_plot_simultanee.R . segTraj_repmat.R . segTraj_ruptAsMat.R . segclust.R . segclust2d.R . segmentation.R . segmentation_class.R . test_functions.R . tools.R .  Full segclust2d package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA