Package: longmixr 1.2.0
Jonas Hagenberg
longmixr: Longitudinal Consensus Clustering with 'flexmix'
An adaption of the consensus clustering approach from 'ConsensusClusterPlus' for longitudinal data. The longitudinal data is clustered with flexible mixture models from 'flexmix', while the consensus matrices are hierarchically clustered as in 'ConsensusClusterPlus'. By using the flexibility from 'flexmix' and 'FactoMineR', one can use mixed data types for the clustering.
Authors:
longmixr_1.2.0.tar.gz
longmixr_1.2.0.zip(r-4.5)longmixr_1.2.0.zip(r-4.4)longmixr_1.2.0.zip(r-4.3)
longmixr_1.2.0.tgz(r-4.4-any)longmixr_1.2.0.tgz(r-4.3-any)
longmixr_1.2.0.tar.gz(r-4.5-noble)longmixr_1.2.0.tar.gz(r-4.4-noble)
longmixr_1.2.0.tgz(r-4.4-emscripten)longmixr_1.2.0.tgz(r-4.3-emscripten)
longmixr.pdf |longmixr.html✨
longmixr/json (API)
NEWS
| # Install 'longmixr' in R: |
| install.packages('longmixr', repos = c('https://cellmapslab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cellmapslab/longmixr/issues
- fake_questionnaire_data - Fake questionnaire data
Last updated 10 months agofrom:be8d46f3e1. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:crosssectional_consensus_clusterget_clusterslongitudinal_consensus_clusterplot_alluvialplot_spaghettitest_clustering_methods
Dependencies:ALLbackportsBiobaseBiocGenericscheckmatecliclustercolorspaceConsensusClusterPlusDBIdplyrfansifarverflexmixgenericsggplot2gluegtableisobandlabelinglatticelifecyclelpSolvemagrittrMASSMatrixmgcvminqamitoolsmodeltoolsmunsellnlmennetnumDerivpillarpkgconfigproxyR6RColorBrewerRcppRcppArmadillorlangscalesStatMatchsurveysurvivaltibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-sectional clustering with categorical variables | crosssectional_consensus_cluster |
| Fake questionnaire data | fake_questionnaire_data |
| Extract the cluster assignments | get_clusters |
| Longitudinal consensus clustering with flexmix | longitudinal_consensus_cluster |
| Alluvial plot for longmixr clusterings | plot_alluvial |
| Spaghetti plot for longmixr clusterings | plot_spaghetti |
| Plot a longitudinal consensus clustering | plot.lcc |
| Try out different linkage methods | test_clustering_methods |
