Package: longclust 1.5

Paul D. McNicholas

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>.

Authors:Paul D. McNicholas [aut, cre], K. Raju Jampani [aut], Sanjeena Subedi [aut]

longclust_1.5.tar.gz
longclust_1.5.tar.gz(r-4.5-noble)longclust_1.5.tar.gz(r-4.4-noble)
longclust_1.5.tgz(r-4.4-emscripten)longclust_1.5.tgz(r-4.3-emscripten)
longclust.pdf |longclust.html
longclust/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS

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

openblas

1.30 score 5 scripts 166 downloads 1 mentions 1 exports 0 dependencies

Last updated 1 years agofrom:82d173e8b0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linux-x86_64OKDec 16 2024

Exports:longclustEM

Dependencies: