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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 07 Mar. 2026.
Previous versions and publish date:
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
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