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BCClong
View on CRAN: Click
here
Download and install BCClong package within the R console
Install from CRAN:
install.packages("BCClong")
Install from Github:
library("remotes")
install_github("cran/BCClong")
Install by package version:
library("remotes")
install_version("BCClong", "1.0.3")
Attach the package and use:
library("BCClong")
Maintained by
Zhiwen Tan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-13
Latest Update: 2024-02-05
Description:
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.
How to cite:
Zhiwen Tan (2023). BCClong: Bayesian Consensus Clustering for Multiple Longitudinal Features. R package version 1.0.3, https://cran.r-project.org/web/packages/BCClong. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for BCClong
Functions, R codes and Examples using
the BCClong R package
Some associated functions: BCC.multi . BayesT . model.selection.criteria . traceplot . trajplot .
Some associated R codes: DiscrepancyMeasure.R . RcppExports.R . Traceplot.R . Trajplot.R . bccLong.R . modelSelection.R . Full BCClong package functions and examples
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