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 06 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
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