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longclust: Model-Based Clustering and Classification for Longitudinal Data
Clustering or classification of longitudinal data based on a mixture of multivariate t or Gaussian distributions with a Cholesky-decomposed covariance structure. Details in McNicholas and Murphy (2010) <doi:10.1002/cjs.10047> and McNicholas and Subedi (2012) <doi:10.1016/j.jspi.2011.11.026>.
| Version: |
1.5 |
| Depends: |
R (≥ 4.3.0) |
| Suggests: |
mvtnorm |
| Published: |
2023-12-21 |
| Author: |
Paul D. McNicholas
 [aut, cre],
K. Raju Jampani [aut] (May to Dec 2012),
Sanjeena Subedi
[aut] |
| Maintainer: |
Paul D. McNicholas <mcnicholas at math.mcmaster.ca> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Materials: |
ChangeLog |
| CRAN checks: |
longclust results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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