Packaged: Wed May 18 10:52:27 2005; curran

Maintainer: James M. Curran <curran@stat.auckland.ac.nz>
Description: A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2007), John Wiley & Sons ISBN 0-471-27020-2
Packaged: Mon Jul  9 10:59:23 2007; curran

Description: A set of R functions and data sets for the book
Introduction to Bayesian Statistics, Bolstad, W.M. (2007), John

Title: Functions for Elementary Bayesian Inference
Description: A set of R functions and data sets for the book Introduction to
Bayesian Statistics, Bolstad, W.M. (2007), John Wiley & Sons ISBN 0-471-27020-2.

Authors@R: person("James", "Curran", email = "j.curran@auckland.ac.nz",

Description: A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2017), John Wiley & Sons ISBN 978-1-118-09156-2.

Understanding Computational Bayesian Statistics, Bolstad, W.M.

Description: A set of R functions and data sets for the book Understanding Computational Bayesian Statistics, Bolstad, W.M. (2009), John Wiley & Sons ISBN 978-0470046098

Author: James M. Curran <j.curran@auckland.ac.nz>
Maintainer: James M. Curran <j.curran@auckland.ac.nz>

Description: A set of R functions and data sets for the book "Understanding Computational Bayesian Statistics." This book was written by Bill (WM) Bolstad and published in 2009 by John Wiley & Sons (ISBN 978-0470046098).

Title: Boltzmann Machines with MM Algorithms
Author: Andrew Thomas Jones, Hien Duy Ngyuen
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>
Description: Provides probability computation, data generation,
and model estimation for fully-visible Boltzmann machines. It follows the methods
described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813>

Author: Andrew Thomas Jones, Hien Duy Nguyen, and Jessica Juanita Bagnall
Suggests: testthat, knitr, rmarkdown, bnstruct
Packaged: 2019-01-10 07:25:02 UTC; andrewjones

Packaged: 2019-02-14 08:55:53 UTC; andrewjones

Title: An Improved Multiple Testing Procedure for Controlling False
Description: An improved multiple testing procedure for controlling false discovery rates which is developed based on the Bonferroni procedure with integrated estimates from the Benjamini-Hochberg procedure and the Storey's q-value procedure. It controls false discovery rates through controlling the expected number of false discoveries.