CRAN/E | latrend

latrend

A Framework for Clustering Longitudinal Data

Installation

About

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 .

github.com/philips-software/latrend
philips-software.github.io/latrend/
Bug report File report

Key Metrics

Version 1.6.0
R ≥ 3.6.0
Published 2024-02-18 67 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks latrend results
Language en-US

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Maintainer

Maintainer

Niek Den Teuling

niek.den.teuling@philips.com

Authors

Niek Den Teuling

aut / cre

Steffen Pauws

ctb

Edwin van den Heuvel

ctb

Koninklijke Philips N.V.

cph

Material

NEWS
Reference manual
Package source

Vignettes

Demonstration of latrend package
Implementing new models
Conducting a simulation study

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

latrend archive

Depends

R ≥ 3.6.0

Imports

stats
methods
Rdpack
R.utils
assertthat ≥ 0.2.1
foreach
data.table ≥ 1.12.0
magrittr
matrixStats
rmarkdown ≥ 1.18
rlang

Suggests

testthat ≥ 3.0.0
roxygen2 ≥ 7.1.0
knitr ≥ 1.24
rcmdcheck
pkgdown
devtools
cluster
evaluate
lme4
covr
lintr
tinytex
longitudinalData ≥ 2.4.1
kml ≥ 2.4.1
lcmm ≥ 1.9.3
mixtools
flexmix
fda
funFEM
gridExtra
igraph
crimCV
dtwclust
mixAK
mclust
mclustcomp
clValid
psych
qqplotr
doParallel
simTool
dplyr
ggplot2
caret
tibble
clusterCrit ≥ 1.3.0