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]
First Published: 2018-02-23
Latest Update: 2023-08-21
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 29 Mar. 2025.
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
02/2702/2803/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/27Downloads for segclust2d024681012141618202224TrendBars

Today's Hot Picks in Authors and Packages

landmix  
Landmark Prediction for Mixture Data
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
gglgbtq  
Show Pride on 'ggplot2' Plots
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

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