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.
Version: | 1.4.2 |
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, evaluate, lme4, covr, lintr, tinytex, longitudinalData (≥ 2.4.1), kml (≥ 2.4.1), lcmm (≥ 1.9.3), mixtools, flexmix, fda, funFEM, gridExtra, igraph, crimCV, akmedoids (≥ 1.3.0), dtwclust, mixAK, clusterCrit, mclust, mclustcomp, psych, qqplotr, doParallel, simTool, dplyr, ggplot2, caret, tibble |
Published: | 2022-08-15 |
Author: | Niek Den Teuling |
Maintainer: | Niek Den Teuling <niek.den.teuling at philips.com> |
BugReports: | https://github.com/philips-software/latrend/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/philips-software/latrend |
NeedsCompilation: | no |
Language: | en-US |
Materials: | NEWS |
CRAN checks: | latrend results |
Reference manual: | latrend.pdf |
Vignettes: |
Demonstration of latrend package Implementing new models Conducting a simulation study |
Package source: | latrend_1.4.2.tar.gz |
Windows binaries: | r-devel: latrend_1.4.2.zip, r-release: latrend_1.4.2.zip, r-oldrel: latrend_1.4.2.zip |
macOS binaries: | r-release (arm64): latrend_1.4.2.tgz, r-oldrel (arm64): latrend_1.4.2.tgz, r-release (x86_64): latrend_1.4.2.tgz, r-oldrel (x86_64): latrend_1.4.2.tgz |
Old sources: | latrend archive |
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