Title: Bubble Chart to Compare Biological Annotations by using DAVID
Description: R-based graphical tool to concisely visualise and compare biological annotations queried from the DAVID web service. It provides R functions to perform enrichment analysis (via DAVID - http://david.abcc.ncifcrf.gov) on several gene lists at once, and then visualizing all the results in one generated figure that allows R users to compare the annotations found for each list.
Packaged: 2015-05-27 05:23:14 UTC; vittoriofortino2

Title: Bayesian Analysis of Computer Code Output
BundleDescription: Bayesian analysis of computer code software.  The
bundle contains routines that evaluate the formulae of Kennedy,
Author: Robin K. S. Hankin <r.hankin@noc.soton.ac.uk>
Maintainer: Robin K. S. Hankin <r.hankin@noc.soton.ac.uk>
Packaged: Fri Oct 21 09:26:25 2005; rksh

Packaged: Mon Dec 19 08:42:55 2005; rksh

Packaged: Fri Mar 10 12:26:48 2006; rksh

Depends: R (>= 2.0.0), mvtnorm, adapt, stats
Packaged: Fri Jul 21 08:12:19 2006; rksh

Packaged: Thu Feb  8 14:01:46 2007; rksh

Packaged: Wed Mar  7 15:06:24 2007; rksh

Packaged: Thu May 10 10:13:33 2007; rksh

Packaged: Thu Oct  4 08:46:16 2007; rksh

Packaged: Fri Jan  9 22:46:20 2009; rksh

Author: Robin K. S. Hankin <hankin.robin@gmail.com>
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Title: Bayesian Analysis of Computer Code Output (BACCO)
Description: The BACCO bundle of packages is replaced by the BACCO
package, which provides a vignette that illustrates the
constituent packages (emulator, approximator, calibrator) in

Depends: emulator (>= 1.2-13), calibrator (>= 1.2-5), approximator (>=
package, which provides a vignette that illustrates the constituent
packages (emulator, approximator, calibrator) in use.

Title: Bayesian Augmented Control for Clinical Trials
person("Hongtao", "Zhang", role = c("aut", "cre"), email = "hongtao.zhang@abbvie.com"),
person("Qi", "Tang", role = "aut", email = "qi.tang@abbvie.com")
Description: Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian historical data borrowing) method under clinical trial setting by calling 'Just Another Gibbs Sampler' ('JAGS') software. In addition, the 'BACCT' package evaluates user-specified decision rules by computing the type-I error/power, or probability of correct go/no-go decision at interim look. The evaluation can be presented numerically or graphically. Users need to have 'JAGS' 4.0.0 or newer installed due to a compatibility issue with 'rjags' package. Currently, the package implements the BAC method for binary outcome only. Support for continuous and survival endpoints will be added in future releases. We would like to thank AbbVie's Statistical Innovation group and Clinical Statistics group for their support in developing the 'BACCT' package.