Title: Bayesian Output Analysis Program (BOA) for MCMC
Packaged: Sun May  2 17:30:18 2004; bjsmith

Packaged: Sat Jan  8 18:01:10 2005; bjsmith

Packaged: Wed Feb  2 00:53:12 2005; bjsmith

Packaged: Mon Feb 14 19:04:19 2005; bjsmith

Packaged: Wed Mar 23 19:37:08 2005; bjsmith

Packaged: Mon May  2 20:09:21 2005; bjsmith

Packaged: Wed Apr 18 09:43:48 2007; bjsmith

Packaged: Wed Dec  5 14:45:31 2007; bjsmith

Description: A menu-driven program and library of functions for
carrying out convergence diagnostics and statistical and
graphical analysis of Markov chain Monte Carlo sampling output.
Packaged: Fri May 2 14:58:06 2008; bjsmith

Authors@R: person("Brian J.", "Smith", role = c("aut", "cre"),

Title: A Clustering Method Based on Boosting on Single Attributes
Description: An overlap clustering algorithm for categorical ultra-dimension data.

Title: Profiling of Peripheral Blood Mononuclear Cells using CyTOF
Suggests: ggplot2, cytofan, dplyr, reshape2, RColorBrewer, knitr,
Description: This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.

Title: Profilling of Peripheral Blood Mononuclear Cells using CyTOF
Suggests: ggplot2, dplyr, reshape2, RColorBrewer, knitr, rmarkdown

Title: Percent Body Fat Values Using Anthropometric Prediction
Author: Gleidson Mendes Rebouças [aut, cre],
Maintainer: Gleidson Mendes Rebouças <gleidsonreboucas@uern.br>
Description: Skinfold measurements is one of the most popular and practical methods for estimating percent body fat. Body composition is a term that describes the relative proportions of fat, bone, and muscle mass in the human body. Following the collection of skinfold measurements, regression analysis (a statistical procedure used to predict a dependent variable based on one or more independent or predictor variables) is used to estimate total percent body fat in humans. <doi:10.4324/9780203868744>.

Title: Interface to the boilerpipe Java library by Christian
Authors@R: c(person("Mario", "Annau", role = c("aut", "cre"), email =
Description: Generic Extraction of main text content from HTML files;
removal of ads, sidebars and headers using the boilerpipe Java
library. The extraction heuristics from boilerpipe show a
robust performance for a wide range of web site templates.