A set of R functions and data sets for the book Introduction to Bayesian Statistics, Bolstad, W.M. (2004), John Wiley & Sons ISBN 0-471-27020-2

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

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

Functions for Elementary Bayesian Inference
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.

person("James", "Curran", email = "j.curran@auckland.ac.nz",
role = c("aut", "cre"))

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.

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

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

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

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).

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>
and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.

Andrew Thomas Jones, Hien Duy Nguyen, and Jessica Juanita Bagnall

An Improved Multiple Testing Procedure for Controlling False
Discovery Rates
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.