bayeslongitudinal: Adjust Longitudinal Regression Models Using Bayesian Methodology

Adjusts longitudinal regression models using Bayesian methodology for covariance structures of composite symmetry (SC), autoregressive ones of order 1 AR (1) and autoregressive moving average of order (1,1) ARMA (1,1).

Version: 0.1.0
Depends: R (≥ 3.1.0), LearnBayes, mvtnorm, MASS
Published: 2017-07-25
Author: Edwin Javier Castillo Carreño, Edilberto Cepeda Cuervo
Maintainer: Edwin Javier Castillo Carreño <edjcastilloca at unal.edu.co>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: bayeslongitudinal results

Documentation:

Reference manual: bayeslongitudinal.pdf

Downloads:

Package source: bayeslongitudinal_0.1.0.tar.gz
Windows binaries: r-devel: bayeslongitudinal_0.1.0.zip, r-release: bayeslongitudinal_0.1.0.zip, r-oldrel: bayeslongitudinal_0.1.0.zip
macOS binaries: r-release (arm64): bayeslongitudinal_0.1.0.tgz, r-release (x86_64): bayeslongitudinal_0.1.0.tgz, r-oldrel: bayeslongitudinal_0.1.0.tgz

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