Package: mAr
Version: 1.0-3
Title: functions for multivariate AutoRegressive analysis
Author: S. M. Barbosa
Maintainer: S. M. Barbosa <susana.barbosa@fc.up.pt>
License: GPL
Description: Estimation of multivariate AR models through a
computationally-efficient stepwise least-squares
algorithm (Neumaier and Schneider, 2001); the
procedure is of particular interest for high-dimensional
data without missing values such as geophysical fields.
Packaged: Wed Sep  8 08:52:28 2004; susana

Description: R functions for multivariate autoregressive analysis
Packaged: Thu Apr 12 20:42:34 2007; root

Packaged: Wed May 11 18:23:42 2005; susana

Description: R functions for the estimation and eigen-decomposition of multivariate autoregressive models.

Title: Multivariate Bayesian Variable Selection Method Exploiting
Author: Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull
Description: Bayesian variable selection methods for data with continuous multivariate responses and multiple covariates.

Title: Bayesian Variable Selection Methods for Multivariate Data
Author: Kyu Ha Lee, Mahlet G. Tadesse, Brent A. Coull, Jacqueline R. Starr
Description: Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data and zero-inflated count data.

Maintainer: Kyu Ha Lee <klee@forsyth.org>

Description: Bayesian variable selection methods for data with multivariate responses and multiple covariates. The package contains implementations of multivariate Bayesian variable selection methods for continuous data (Lee et al., Biometrics, 2017 <doi: 10.1111/biom.12557>) and zero-inflated count data (Lee et al., Biostatistics, 2020 <doi:10.1093/biostatistics/kxy067>).

Title: Inferring Causal Network from Mixed Observational Data Using a
Description: Learning a mixed directed acyclic graph based on both continuous and categorical data.
Imports: Rcpp (>= 0.12.14), pcalg, mgm, bnlearn, methods, nnet

Author: Wujuan Zhong, Li Dong, Quefeng Li, Xiaojing Zheng