Package: MLModelSelection 1.0

Kuo-Jung Lee

MLModelSelection: Model Selection in Multivariate Longitudinal Data Analysis

An efficient Gibbs sampling algorithm is developed for Bayesian multivariate longitudinal data analysis with the focus on selection of important elements in the generalized autoregressive matrix. It provides posterior samples and estimates of parameters. In addition, estimates of several information criteria such as Akaike information criterion (AIC), Bayesian information criterion (BIC), deviance information criterion (DIC) and prediction accuracy such as the marginal predictive likelihood (MPL) and the mean squared prediction error (MSPE) are provided for model selection.

Authors:Kuo-Jung Lee

MLModelSelection_1.0.tar.gz
MLModelSelection_1.0.tar.gz(r-4.5-noble)MLModelSelection_1.0.tar.gz(r-4.4-noble)
MLModelSelection_1.0.tgz(r-4.4-emscripten)MLModelSelection_1.0.tgz(r-4.3-emscripten)
MLModelSelection.pdf |MLModelSelection.html✨
MLModelSelection/json (API)

# Install 'MLModelSelection' in R:
install.packages('MLModelSelection', repos = 'https://cloud.r-project.org')
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

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

openblascpp

1.00 score 164 downloads 1 exports 4 dependencies

Last updated 5 years agofrom:c619b68ac3. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-linux-x86_64OKMar 08 2025
R-4.4-linux-x86_64OKMar 08 2025

Exports:MLModelSelectionMCMC

Dependencies:MASSRcppRcppArmadilloRcppDist

Citation

To cite package ‘MLModelSelection’ in publications use:

Lee K (2020). MLModelSelection: Model Selection in Multivariate Longitudinal Data Analysis. R package version 1.0, https://CRAN.R-project.org/package=MLModelSelection.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {MLModelSelection: Model Selection in Multivariate
      Longitudinal Data Analysis},
    author = {Kuo-Jung Lee},
    year = {2020},
    note = {R package version 1.0},
    url = {https://CRAN.R-project.org/package=MLModelSelection},
  }