Other packages > Find by keyword >

mlmts  

Machine Learning Algorithms for Multivariate Time Series
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mlmts", "1.1.2")



Attach the package and use:
library("mlmts")
Maintained by
Angel Lopez-Oriona
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-21
Latest Update: 2024-08-18
Description:
An implementation of several machine learning algorithms for multivariate time series. The package includes functions allowing the execution of clustering, classification or outlier detection methods, among others. It also incorporates a collection of multivariate time series datasets which can be used to analyse the performance of new proposed algorithms. Some of these datasets are stored in GitHub data packages 'ueadata1' to 'ueadata8'. To access these data packages, run 'install.packages(c('ueadata1', 'ueadata2', 'ueadata3', 'ueadata4', 'ueadata5', 'ueadata6', 'ueadata7', 'ueadata8'), repos='')'. The installation takes a couple of minutes but we strongly encourage the users to do it if they want to have available all datasets of mlmts. Practitioners from a broad variety of fields could benefit from the general framework provided by 'mlmts'.
How to cite:
Angel Lopez-Oriona (2022). mlmts: Machine Learning Algorithms for Multivariate Time Series. R package version 1.1.2, https://cran.r-project.org/web/packages/mlmts. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-02-21 09:50), 1.0.1 (2022-04-19 16:42), 1.1.0 (2022-11-21 13:40), 1.1.1 (2023-01-22 22:30), 1.1.2 (2024-08-18 10:40)
Other packages that cited mlmts R package
View mlmts citation profile
Other R packages that mlmts depends, imports, suggests or enhances
Complete documentation for mlmts
Functions, R codes and Examples using the mlmts R package
Some associated functions: ArticularlyWordRecognition . AtrialFibrillation . BasicMotions . CharacterTrajectories . Cricket . DuckDuckGeese_1 . DuckDuckGeese_2 . ERing . EigenWorms_1 . EigenWorms_2 . Epilepsy . EthanolConcentration . FinancialData . FingerMovements . HandMovementDirection . Handwriting . Heartbeat . JapaneseVowels . LSST . Libras . MotorImagery . NATOPS . PEMS_SF_1 . PEMS_SF_2 . PenDigits . Phoneme . RacketSports . SelfRegulationSCP1 . SelfRegulationSCP2 . SpokenArabicDigits . StandWalkJump . SyntheticData1 . SyntheticData2 . UWaveGestureLibrary . dis_2dsvd . dis_cor . dis_dtw_1 . dis_dtw_2 . dis_eros . dis_eucl . dis_frechet . dis_gcc . dis_hwl . dis_lpp . dis_mahalanobis . dis_mahalanobis_dtw . dis_mcc . dis_modwt . dis_pca . dis_ppca . dis_qcd . dis_qcf . dis_spectral . dis_swmd . dis_var_1 . dis_var_2 . dis_www . dis_zagorecki . f4_classifier . knn_classifier . mc2pca_clustering . mlmts . mts_forecasting . mts_plot . outlier_detection . plot_2d_scaling . vpca_clustering . 
Some associated R codes: ArticularlyWordRecognition.R . AtrialFibrillation.R . BasicMotions.R . CharacterTrajectories.R . Cricket.R . DuckDuckGeese_1.R . DuckDuckGeese_2.R . ERing.R . EigenWorms_1.R . EigenWorms_2.R . Epilepsy.R . EthanolConcentration.R . FinancialData.R . FingerMovements.R . HandMovementDirection.R . Handwriting.R . Heartbeat.R . JapaneseVowels.R . LSST.R . Libras.R . MotorImagery.R . NATOPS.R . PEMS_SF_1.R . PEMS_SF_2.R . PenDigits.R . Phoneme.R . RacketSports.R . SelfRegulationSCP1.R . SelfRegulationSCP2.R . SpokenArabicDigits.R . StandWalkJump.R . SyntheticData1.R . SyntheticData2.R . UWaveGestureLibrary.R . auxiliary_2dsvd_function.R . auxiliary_cor_function.R . auxiliary_dtw_mahalanobis_function.R . auxiliary_eros_function.R . auxiliary_forecasting_function.R . auxiliary_gcc_function.R . auxiliary_hwl_function.R . auxiliary_lpp_function.R . auxiliary_mahalanobis_function.R . auxiliary_mc2pca_function.R . auxiliary_mcc_function.R . auxiliary_modwt_function.R . auxiliary_pca_function.R . auxiliary_ppca_function.R . auxiliary_qaf_function.R . auxiliary_qcd_function.R . auxiliary_spectral_function.R . auxiliary_var_1_function.R . auxiliary_var_2_function.R . auxiliary_vpca_function.R . auxiliary_www_function.R . auxiliary_zagorecki_function.R . check_mts.R . check_mts_rows.R . dis_2dsvd.R . dis_cor.R . dis_dtw_1.R . dis_dtw_2.R . dis_eros.R . dis_eucl.R . dis_frechet.R . dis_gcc.R . dis_hwl.R . dis_lpp.R . dis_mahalanobis.R . dis_mahalanobis_dtw.R . dis_mcc.R . dis_modwt.R . dis_pca.R . dis_ppca.R . dis_qcd.R . dis_qcf.R . dis_spectral.R . dis_swmd.R . dis_var_1.R . dis_var_2.R . dis_www.R . dis_zagorecki.R . f4_classifier.R . fuzzytocrisp.R . knn_classifier.R . listTomatrix.R . mc2pca_clustering.R . mts_forecasting.R . mts_plot.R . outlier_detection.R . package-mlmts.R . plot_2d_scaling.R . vpca_clustering.R .  Full mlmts package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
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  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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