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 11 Jun. 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

leontief  
Input-Output Analysis
An implementation of the Input-Output model developed by Wassily Leontief that represents the inter ...
Download / Learn more Package Citations See dependency  
hsphase  
Phasing, Pedigree Reconstruction, Sire Imputation and Recombination Events Identification of Half-sib Families Using SNP Data
Identification of recombination events, haplotype reconstruction, sire imputation and pedigree recon ...
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  
clusrank  
Wilcoxon Rank Tests for Clustered Data
Non-parametric tests (Wilcoxon rank sum test and Wilcoxon signed rank test) for clustered data docu ...
Download / Learn more Package Citations See dependency  
stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  
Voss  
Generic Voss Algorithm (Random Sequential Additions)
Generating realizations of a fractal Brownian function on uniform 1D & 2D grid with classic and ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

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