Title: Analysis of Sensory and Consumer Data in a Mixed Model Framework
Authors@R: c(person("Alexandra", "Kuznetsova", role = c("aut", "cre"),
person("Per", "Bruun Brockhoff", role = c("aut", "ths")),
person("Rune", "Haubo Bojesen Christensen", role = "aut"))
Depends: R (>= 3.0.0), stats, methods, lmerTest
Imports: Hmisc, plyr, doBy, xtable, reshape2, ggplot2, shiny, shinyBS,
Description: Functions that facilitate analysis of
Sensory as well as Consumer data within a mixed effects model
framework. The so-called mixed assessor models,
that correct for the scaling effect are implemented.
The generation of the d-tilde plots forms part of the package.
The shiny application provides GUI for the functionalities.
Author: Alexandra Kuznetsova [aut, cre],

Imports: Hmisc, parallel, plyr, doBy, xtable, reshape2, ggplot2, shiny,
framework are provided. The so-called mixed assessor models,
The shiny application for the  functionalities

Authors@R: c(person("Alexandra", "Kuznetsova", role = c("aut"),
person("Per", "Bruun Brockhoff", role = c("aut", "ths", "cre"),
The shiny application provides a GUI for the functionalities.
Maintainer: Per Bruun Brockhoff <perbb@dtu.dk>

Package: SensitivityCaseControl
Type: Package
Title: Sensitivity Analysis for Case-Control Studies
Version: 1.0
Date: 2012-10-19
Author: Dylan Small
Maintainer: Dylan Small <dsmall@wharton.upenn.edu>
Description: This package performs sensitivity analysis for
case-control studies in which some cases may meet a more narrow
definition of being a case compared to other cases which only
meet a broad definition.  The sensitivity analyses are
described in Small, Cheng, Halloran and Rosenbaum (2012, "Case
Definition and Sensitivity Analysis", working paper).  The
functions sens.analysis.mh and sens.analysis.aberrant.rank
provide sensitivity analyses based on the Mantel-Haenszel test
statistic and aberrant rank test statistic as described in
Rosenbaum (1991, "Sensitivity Analysis for Matched Case Control
Studies", Biometrics); see also Section 1 of Small et al.  The
function adaptive.case.test provides adaptive inferences as
described in Section 5 of Small et al.  The function
adaptive.noether.brown provides a sensitivity analysis for a
matched cohort study based on an adaptive test.  The other
functions in the package are internal functions.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-11-08 00:32:12 UTC; dsmall
Repository: CRAN
Date/Publication: 2012-11-08 06:11:29