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 runs 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
an uncertainty analysis following the Latin hypercube
sampling scheme. 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: 0.2
Author: J. Patrick Renschler <patrick.renschler@gmail.com>
Maintainer: J. Patrick Renschler <patrick.renschler@gmail.com>
Depends: R (>= 2.14.1)
Imports: reshape2, RColorBrewer, plyr, shiny
LazyData: true
License: GPL-3
Packaged: 2014-09-04 04:14:42 UTC; Patrick
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-04 07:01:07

Title: Penalized Quantile Regression with Fixed Effects
Description: Quantile regression with fixed effects is a general model for longitudinal data. Here we proposed to solve it by several methods. The estimation methods include three loss functions as check, asymmetric least square and asymmetric Huber functions; and three structures as simple regression, fixed effects and fixed effects with penalized intercepts by LASSO.

Title: Estimation of Prevalence Ratios using Logistic Models
Author: Raydonal Ospina <raydonal@de.ufpe.br> and Leila D. Amorim
Depends: R (>= 2.10.0), boot, methods, stats, stats4, lme4, Hmisc
Description: Estimation of prevalence ratios using logistic models and
confidence intervals with delta and bootstrap methods.