Title: Estimate the Burden of Healthcare-Associated Infections
Authors@R: person("Benedikt", "Zacher", email = "ZacherB@rki.de", role = c("aut", "cre"))
Description: Provides an approach which is based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) and can be used for large and small samples such as individual countries. The Burden of Healthcare-Associated Infections (BHAI) is estimated in disability-adjusted life years, number of infections as well as number of deaths per year. Results can be visualized with various plotting functions and exported into tables.
Imports: prevtoinc, MCMCpack, plotrix, graphics, grDevices, stats,

Title: Useful Functions for Box, Hunter and Hunter II
Description: Functions and data sets reproducing some examples in Box, Hunter and Hunter II
Packaged: Mon Mar 14 09:06:39 2005; ebarrios

Packaged: Sun Oct 21 00:22:16 2007; hornik

Description: Functions and data sets reproducing some examples in
Packaged: Sun Mar  2 21:28:08 2008; halvorsen

Packaged: Wed Mar  5 16:53:18 2008; halvorsen

Packaged: Thu Jan 29 22:28:16 2009; kjetil

Description: Functions and data sets reproducing some examples in Box,

Box, Hunter and Hunter II.  Useful for statistical design
of experiments, especially factorial experiments.

Title: Bayesian hierarchical multi-subject multiscale analysis of
Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"),
person("Marco A.R.", "Ferreira", role = "aut"))
Description: Performs BHMSMA of fMRI data (Sanyal & Ferreira, 2012) using wavelet based prior that borrows strength across subjects and returns posterior smoothed versions of the fMRI data and samples from the posterior distribution.

Title: Bayesian Hierarchical Multi-Subject Multiscale Analysis of
Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nisanyal@ucsd.edu"),
Author: Nilotpal Sanyal [aut, cre], Marco A.R. Ferreira [aut]
Depends: fmri, AnalyzeFMRI, wavethresh, compiler
Description: Performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041> using wavelet based prior that borrows strength across subjects and returns posterior smoothed versions of the fMRI data and samples from the posterior distribution.
Packaged: 2017-05-04 23:49:58 UTC; nilotpalsanyal