Package: HSROC
Type: Package
Title: Meta-Analysis of Diagnostic Test Accuracy when Reference Test is
Imperfect
Version: 2.1.8
Date: 2015-02-09
Author: Ian Schiller and Nandini Dendukuri
Maintainer: Ian Schiller <ian.schiller@clinepi.mcgill.ca>
Depends: R (>= 3.1.2), lattice, coda, MASS, MCMCpack
Description: Implements a model for joint meta-analysis of sensitivity and specificity of the diagnostic test under evaluation, while taking into account the possibly imperfect sensitivity and specificity of the reference test. This hierarchical model accounts for both within and between study variability. Estimation is carried out using a Bayesian approach, implemented via a Gibbs sampler. The model can be applied in situations where more than one reference test is used in the selected studies.
License: GPL-2
URL: http://www.nandinidendukuri.com/
Encoding: latin1
Packaged: 2015-02-09 19:01:28 UTC; ian.schiller
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-02-10 00:32:01
Package: NHMM
Type: Package
Title: Bayesian NHMM Modeling (Multiple Time Series)
Version: 3.5
Date: 2014-08-15
Author: Tracy Holsclaw
Acknowledgements: This work was supported by a grant from the U.S.
Department of Energy, (through the Earth System Models (EaSM)
program.( This package was developed under the direction of
Padhraic Smyth at the Department of Computer Science and
Statistics at the University of California, Irvine and in
collaboration with Andrew Robertson and Arthur Greene of the
International Research Institute for Climate and Society at The
Earth Institute at Columbia University.
Maintainer: Tracy Holsclaw <iamrandom@iamrandom.com>
Description: Bayesian NHMM modeling for multiple time series. The emission distribution can be mixtures of Gammas, Poissons, Normals and zero inflation is possible.
License: GPL (>= 3)
Imports: Rcpp (>= 0.11.0)
LinkingTo: Rcpp
Depends: BayesLogit, msm, MCMCpack, MASS
URL: http://iamrandom.com/nhmm-package
Packaged: 2014-11-25 23:46:41 UTC; iamrandom
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-11-26 08:06:49
Package: SimpleTable
Version: 0.1-2
Date: 2012-6-2
Title: Bayesian Inference and Sensitivity Analysis for Causal Effects
from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured
Confounding
Author: Kevin M. Quinn <kevin_quinn@harvard.edu>,
Maintainer: Kevin M. Quinn <kquinn@law.berkeley.edu>
Depends: R (>= 2.5.1), hdrcde, locfit, MCMCpack, tcltk
Description: SimpleTable provides a series of methods to conduct
Bayesian inference and sensitivity analysis for causal effects
from 2 x 2 and 2 x 2 x K tables when unmeasured confounding is
present or suspected.
License: GPL-2
Packaged: 2012-06-02 23:00:13 UTC; kevinquinn
Repository: CRAN
Date/Publication: 2012-06-03 06:07:30
Package: RxCEcolInf
Type: Package
Title: R x C Ecological Inference With Optional Incorporation of Survey
Information
Version: 0.1-3
Date: 2012-07-23
Author: D. James Greiner, Paul Baines, and Kevin M. Quinn
Maintainer: Kevin M. Quinn <kquinn@law.berkeley.edu>
Description: Fits the R x C inference model described in Greiner and
Quinn (2009). Allows incorporation of survey results.
Depends: MASS, MCMCpack, mvtnorm, lattice
License: GPL
Packaged: 2013-07-24 11:00:46 UTC; ripley
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-07-24 13:03:02
providing 
.