Title: Bayesian Logistic Regression with Heavy-Tailed Priors
Authors@R: c(person(given = "Longhai", family = "Li", role = c("aut", "cre"), email = "longhai@math.usask.ca",
comment=c(ORCID="0000-0002-3074-8584")), person(given = "Steven", family = "Liu", role = c("aut"),
Description: Efficient Bayesian multinomial logistic regression based on heavy-tailed
(hyper-LASSO, non-convex) priors. The posterior of coefficients and hyper-parameters
is sampled with restricted Gibbs sampling for leveraging the high-dimensionality and
Hamiltonian Monte Carlo for handling the high-correlation among coefficients. A detailed
description of the method: Li and Yao (2018), JSCS, 88:14, 2827-2851, <arXiv:1405.3319>.
Suggests: rda, ggplot2, corrplot, testthat (>= 2.0.0), bayesplot,
Imports: Rcpp (>= 0.12.0), BCBCSF, glmnet, magrittr
LinkingTo: Rcpp (>= 0.12.0), RcppArmadillo
Author: Longhai Li [aut, cre] (<https://orcid.org/0000-0002-3074-8584>),

description of the method: Li and Yao (2018),
Journal of Statistical Computation and Simulation, 88:14, 2827-2851, <arXiv:1405.3319>.
Suggests: ggplot2, corrplot, testthat (>= 2.1.0), bayesplot, knitr,

Author: Eric Lecoutre  R port by Mathieu Ros <mathieuros@bigfoot.com>
Description: Functions for exporting R object as html tables

Title: Facilitates automated HTML report creation
Author: Markus Loecher, Sense Networks <markus@sensenetworks.com>
Maintainer: Markus Loecher, Sense Networks <markus@sensenetworks.com>
Description: Facilitates automated HTML report creation, in particular
framed HTML pages and dynamically sortable tables.
Packaged: Thu May 21 14:32:14 2009; markusloecher

Packaged: Tue Jun 2 13:04:41 2009; markusloecher

Packaged: Thu Jul 2 14:53:31 2009; mloecher

Author: "Markus Loecher, Berlin School of Economics and Law (BSEL)"
Maintainer: "Markus Loecher, Berlin School of Economics and Law (BSEL)"

Title: Facilitates Automated HTML Report Creation
Author: "Markus Loecher, Berlin School of Economics and Law (BSEL)"  <markus.loecher@gmail.com>
Maintainer: "Markus Loecher, Berlin School of Economics and Law (BSEL)" <markus.loecher@gmail.com>