Package: BCClong 1.0.3

Zhiwen Tan

BCClong: Bayesian Consensus Clustering for Multiple Longitudinal Features

It is very common nowadays for a study to collect multiple features and appropriately integrating multiple longitudinal features simultaneously for defining individual clusters becomes increasingly crucial to understanding population heterogeneity and predicting future outcomes. 'BCClong' implements a Bayesian consensus clustering (BCC) model for multiple longitudinal features via a generalized linear mixed model. Compared to existing packages, several key features make the 'BCClong' package appealing: (a) it allows simultaneous clustering of mixed-type (e.g., continuous, discrete and categorical) longitudinal features, (b) it allows each longitudinal feature to be collected from different sources with measurements taken at distinct sets of time points (known as irregularly sampled longitudinal data), (c) it relaxes the assumption that all features have the same clustering structure by estimating the feature-specific (local) clusterings and consensus (global) clustering.

Authors:Zhiwen Tan [aut, cre], Zihang Lu [ctb], Chang Shen [ctb]

BCClong_1.0.3.tar.gz
BCClong_1.0.3.tar.gz(r-4.5-noble)BCClong_1.0.3.tar.gz(r-4.4-noble)
BCClong_1.0.3.tgz(r-4.4-emscripten)BCClong_1.0.3.tgz(r-4.3-emscripten)
BCClong.pdf |BCClong.html
BCClong/json (API)

# Install 'BCClong' in R:
install.packages('BCClong', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.60 score 10 scripts 263 downloads 5 exports 59 dependencies

Last updated 6 months agofrom:adbd93d49b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linux-x86_64OKNov 22 2024

Exports:BayesTBCC.multimodel.selection.criteriatraceplottrajplot

Dependencies:abindbootcliclustercodacolorspacecombinatevdfansifarverfastGHQuadggplot2gluegmpgridExtragtableisobandlabel.switchinglabelingLaplacesDemonlatticelifecyclelme4lpSolvemagrittrMASSMatrixMatrixModelsmclustmcmcMCMCpackmgcvminqamixAKmnormtmunsellmvtnormnlmenloptrnnetpillarpkgconfigquantregR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRmpfrscalesSparseMsurvivaltibbletruncdistutf8vctrsviridisLitewithr

ContinuousData

Rendered fromContinuousData.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2024-06-25
Started: 2023-01-13

MixedTypeData

Rendered fromMixedTypeData.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2024-06-25
Started: 2023-01-13