Title: Bayesian Meta-Analysis of diagnostic test data
Author: Dr. Pablo Emilio Verde <pabloemilio.verde@uni-duesseldorf.de> &
Description: Bayesian meta-analysis of diagnostic test data based on a
scale mixtures bivariate random-effects model. Summary
statistics are based on pooled and predictive sensitivities and
specificities. Model checking is used for diagnostic of
random-effects' misfit and predictive data is used to assess
Packaged: 2011-08-09 00:10:48 UTC; unausgeschlafen

Packaged: 2011-08-06 14:43:27 UTC; unausgeschlafen

Packaged: 2011-12-08 14:04:51 UTC; unausgeschlafen

Title: Bayesian Meta-Analysis of Diagnostic Test Data
Authors@R: c(person("Pablo Emilio", "Verde", role=c("aut","cre"),
Imports: rjags (>= 3.4.0), ggplot2 (>= 0.9.3.1), grid, gridExtra,
SystemRequirements: JAGS (>= 3.4.0) (see
Description: Functions for Bayesian meta-analysis of diagnostic test data which are based on a scale mixtures bivariate random-effects model.
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

Description: Functions for Bayesian mete-analysis of diagnostic test data which are based on a scale mixtures bivariate random-effects model.

Imports: rjags (>= 3.4.0), R2jags (>= 0.04-03), ggplot2, ggExtra, MASS,
Description: Functions for Bayesian meta-analysis of diagnostic test data which
are based on a scale mixtures bivariate random-effects model.

ggExtra (>= 0.8), MASS (>= 7.3), grid , gridExtra (>= 2.3)

Authors@R: c(person("Pablo Emilio", "Verde", role=c("aut","cre"), email="pabloemilio.verde@hhu.de"))
Imports: rjags (>= 4.0.0), R2jags (>= 0.04-03), stats, ggplot2,
SystemRequirements: JAGS (>= 4.3.0) (see
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).

Title: Bayesian Additive Models for Location Scale and Shape (and
person(given = "Nadja", family = "Klein", role = "aut", email = "nklein@uni-goettingen.de"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"),
person(given = "Meike", family = "Koehler", role = "aut", email = "Meike.Koehler@helmholtz-muenchen.de"))
Description: R infrastructures for Bayesian regression models.
Depends: R (>= 3.2.3), coda, colorspace, mgcv
Imports: Formula, MBA, mvtnorm, sp, spam, Matrix, survival, methods,
Suggests: akima, bit, fields, gamlss, geoR, rjags, BayesX, BayesXsrc,
mapdata, maps, maptools, raster, spatstat, spdep, zoo