Other packages > Find by keyword >

latrend  

A Framework for Clustering Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("latrend", "1.6.2")



Attach the package and use:
library("latrend")
Maintained by
Niek Den Teuling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-18
Latest Update: 2025-07-04
Description:
A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease. The 'akmedoids' package is available from .
How to cite:
Niek Den Teuling (2020). latrend: A Framework for Clustering Longitudinal Data. R package version 1.6.2, https://cran.r-project.org/web/packages/latrend. Accessed 02 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 1.0.1 (2020-11-18 11:10), 1.1.0 (2021-03-05 17:10), 1.1.2 (2021-04-14 15:50), 1.2.1 (2022-01-06 16:40), 1.3.0 (2022-05-26 16:40), 1.4.1 (2022-07-04 13:50), 1.4.2 (2022-08-15 13:40), 1.4.3 (2022-10-26 18:32), 1.5.0 (2022-11-10 22:30), 1.5.1 (2023-03-18 00:10), 1.6.0 (2024-02-18 23:10), 1.6.1 (2024-05-15 13:50), 1.6.2 (2025-07-04 16:40)
Other packages that cited latrend R package
View latrend citation profile
Other R packages that latrend depends, imports, suggests or enhances
Complete documentation for latrend
Functions, R codes and Examples using the latrend R package
Some associated functions: APPA . OCC . PAP.adh . PAP.adh1y . as.data.frame.lcMethod . as.data.frame.lcMethods . as.data.frame.lcModels . as.lcMethods . as.lcModels . as.list.lcMethod . assert . clusterNames-set . clusterNames . clusterProportions . clusterSizes . clusterTrajectories . coef.lcModel . compose . confusionMatrix . converged . createTestDataFold . createTestDataFolds . createTrainDataFolds . defineExternalMetric . defineInternalMetric . deviance.lcModel . df.residual.lcModel . dot-defineInternalDistanceMetrics . dot-trajSubset . estimationTime . evaluate.lcMethod . externalMetric . fit . fitted.lcModel . fittedTrajectories . formula.lcMethod . formula.lcModel . generateLongData . getArgumentDefaults . getArgumentExclusions . getCall.lcModel . getExternalMetricDefinition . getExternalMetricNames . getInternalMetricDefinition . getInternalMetricNames . getLabel . getLcMethod . getName . idVariable . ids . indexy . initialize-lcMethod-method . interface-akmedoids . interface-crimCV . interface-custom . interface-dtwclust . interface-featureBased . interface-flexmix . interface-funFEM . interface-kml . interface-lcmm . interface-mclust . interface-metaMethods . interface-mixAK . interface-mixtools . interface-mixtvem . is . isArgDefined . latrend-approaches . latrend-data . latrend-estimation . latrend-generics . latrend-methods . latrend-metrics . latrend-package . latrend-parallel . latrend . latrendBatch . latrendBoot . latrendCV . latrendData . latrendRep . lcApproxModel-class . lcFitMethods . lcMatrixMethod-class . lcMethod-class . lcMethod-estimation . lcMethodAkmedoids . lcMethodCrimCV . lcMethodDtwclust . lcMethodFeature . lcMethodFlexmix . lcMethodFlexmixGBTM . lcMethodFunFEM . lcMethodFunction . lcMethodGCKM . lcMethodKML . lcMethodLMKM . lcMethodLcmmGBTM . lcMethodLcmmGMM . lcMethodMclustLLPA . lcMethodMixAK_GLMM . lcMethodMixTVEM . lcMethodMixtoolsGMM . lcMethodMixtoolsNPRM . lcMethodRandom . lcMethodStratify . lcMethods . lcModel-class . lcModel-data-filters . lcModel-make . lcModel . lcModelPartition . lcModelWeightedPartition . lcModels-class . lcModels . logLik.lcModel . match.call.all . max.lcModels . meanNA . metric . min.lcModels . model.data.lcModel . model.data . model.frame.lcModel . nClusters . nIds . names-lcMethod-method . nobs.lcModel . plot-lcModel-method . plot-lcModels-method . plotClusterTrajectories . plotFittedTrajectories . plotMetric . plotTrajectories . postFit . postProbFromObs . postprob . postprobFromAssignments . preFit . predict.lcModel . predictAssignments . predictForCluster . predictPostprob . prepareData . print.lcMethod . print.lcModels . qqPlot . residuals.lcModel . responseVariable . sigma.lcModel . strip . subset.lcModels . summary.lcModel . test.latrend . test . time.lcModel . timeVariable . trajectories . trajectoryAssignments . transformFitted . transformPredict . tsframe . tsmatrix . update.lcMethod . update.lcModel . validate . weighted.meanNA . which.weight . 
Some associated R codes: assert.R . compute.R . data.R . formula.R . generics.R . latrend.R . make.R . matrix.R . meta-fit-converged.R . meta-fit-rep.R . meta-fit.R . meta-method.R . method.R . methodAKMedoids.R . methodCrimCV.R . methodDtwclust.R . methodFeature.R . methodFlexmix.R . methodFlexmixGBTM.R . methodFunFEM.R . methodFunction.R . methodGCKM.R . methodKML.R . methodLMKM.R . methodLcmmGBTM.R . methodLcmmGMM.R . methodMatrix.R . methodMclustLLPA.R . methodMixAK_GLMM.R . methodMixTVEM.R . methodMixtoolsGMM.R . methodMixtoolsNPRM.R . methodRandom.R . methodStratify.R . methods.R . metrics.R . metricsExternal.R . metricsInternal.R . model-evaluation.R . model-summary.R . model-transform.R . model.R . modelApprox.R . modelCrimCV.R . modelDtwclust.R . modelFlexmix.R . modelFunFEM.R . modelKML.R . modelLMKM.R . modelLcmmGBTM.R . modelLcmmGMM.R . modelMclustLLPA.R . modelMixAK_GLMM.R . modelMixAK_GLMMlist.R . modelMixTVEM.R . modelMixtoolsGMM.R . modelMixtoolsRM.R . modelPartition.R . modelStratify.R . modelWeightedPartition.R . models.R . random.R . test.R . timing.R . trajectories.R . verbose.R . zzz.R .  Full latrend package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggsci  
Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'
A collection of 'ggplot2' color palettes inspired by plots in scientific journals, data visualizati ...
Download / Learn more Package Citations See dependency  
recmap  
Compute the Rectangular Statistical Cartogram
Implements the RecMap MP2 construction heuristic . This algorithm draw ...
Download / Learn more Package Citations See dependency  
VIM  
Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used f ...
Download / Learn more Package Citations See dependency  
multicmp  
Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwe ...
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  

28,437

R Packages

239,283

Dependencies

75,283

Author Associations

28,438

Publication Badges

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