Author: Niels Richard Hansen <Niels.R.Hansen@math.ku.dk>.
Depends: R (>= 2.11.1), processdata (>= 0.6), ggplot2, Matrix, splines,
Description: This package implements statistical methods for
one-dimensional marked point process models.

Depends: R (>= 2.14.1), processdata (>= 0.8), reshape2, ggplot2 (>=
Imports: stats, splines, Matrix, parallel

Packaged: 2012-03-08 23:13:59 UTC; nielsrichardhansen

Depends: R (>= 2.14.1), processdata (>= 0.8.2), reshape2, ggplot2 (>=

Package: pqantimalarials
Title: web tool for estimating under-five deaths caused by poor-quality
antimalarials in sub-Saharan Africa
Description: This package allows users to calculate the number of
under-five child deaths caused by consumption of poor quality
antimalarials across 39 sub-Saharan nations. The package supports one
function, that starts an interactive web tool created using
the shiny R package. The web tool run's locally on the user's machine.
The web tool allows users to set input parameters (prevalence of poor
quality antimalarials, case fatality rate of children who take poor
quality antimalarials, and sample size) which are then used to perform
a sensitivity and uncertainty analysis following the Latin hypercube
sampling scheme with calculation of partial rank correlation
coefficients. Users can download the output figures as PDFs, and the
output data as CSVs. Users can also download their input parameters
for reference. This package was designed to accompany the analysis
presented in:
J. Patrick Renschler, Kelsey Walters, Paul Newton, Ramanan Laxminarayan
"Estimated under-five deaths associated with poor-quality
antimalarials in sub-Saharan Africa", 2014. Paper submitted.
Version: 0.1
Author: J. Patrick Renschler <patrick.renschler@gmail.com>
Maintainer: J. Patrick Renschler <patrick.renschler@gmail.com>
Depends: R (>= 2.14.1), shiny(>= 0.8.0), rms
Imports: reshape2, RColorBrewer, plyr
LazyData: true
License: GPL-3
Packaged: 2014-03-18 18:24:35 UTC; Patrick
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-18 21:21:37