Package: multiv
Version: 1.1-4
Date: 2007-07-03
Title: Multivariate Data Analysis Routines
Author: S original by F. Murtagh <fmurtagh@eso.org>.
R port by Kurt Hornik, Friedrich Leisch and Achim Zeileis
Maintainer: Friedrich Leisch <Friedrich.Leisch@ci.tuwien.ac.at>
Description: Multivariate Data Analysis Routines including hierarchical
clustering, PCA, Sammon mapping, correspondence analysis, ...
License: Free re-distribution for non-commercial purposes.

Package: multiv
Version: 1.1-5
Date: 2003-04-11
Title: Multivariate Data Analysis Routines
Author: S original by F. Murtagh <fmurtagh@eso.org>.
R port by Kurt Hornik, Friedrich Leisch and Achim Zeileis
Maintainer: Friedrich Leisch <Friedrich.Leisch@ci.tuwien.ac.at>
Description: Multivariate Data Analysis Routines including hierarchical
clustering, PCA, Sammon mapping, correspondence analysis, ...
License: Free re-distribution for non-commercial purposes.

Package: multiv
Version: 1.1-6
Date: 2003-07-16
Title: Multivariate Data Analysis Routines
Author: S original by F. Murtagh <fmurtagh@eso.org>.
R port by Kurt Hornik, Friedrich Leisch and Achim Zeileis
Maintainer: ORPHANED
Description: Multivariate Data Analysis Routines including hierarchical
clustering, PCA, Sammon mapping, correspondence analysis, ...
License: Free re-distribution for non-commercial purposes.

Title: Penalized Estimation and Forecasting of Multiple Subject Vector
person("Younghoon", "Kim", role = "aut"),
person("Vladas", "Pipiras", role = "aut")
Description: Functions for simulating, estimating and forecasting stationary Vector Autoregressive (VAR) models from multiple subjects using penalized regression methods (LASSO and adaptive LASSO) using accelerated proximal gradient descent algorithms (Fisher, Kim and Pipiras, Under Review).

Description: Functions for simulating, estimating and forecasting stationary Vector Autoregressive (VAR) models for multiple subject data using the penalized multi-VAR framework in Fisher, Kim and Pipiras (2020) <arXiv:2007.05052>.
Imports: stats, utils, MASS, Rcpp (>= 1.0.3)