Package: R0
Type: Package
Title: Estimation of R0 and real-time repdroduction number from
epidemics
Version: 1.1
Date: 2012-07-26
Author: Pierre-Yves Boelle, Thomas Obadia
Maintainer: Thomas Obadia <obadia@u707.jussieu.fr>
Depends: R (>= 2.13.0), MASS
Suggests: epicalc
Description: This package is designed to estimate reproduction numbers
for disease outbreak, based on incidence data. It implements
several documented methods. It is therefore possible to compare
estimations according to the methods used. Depending on the
methods requested by user, basic reproduction number (commonly
denoted as R0) or real-time reproduction number (refered to as
R(t)) is computed, along with a 95% Confidence Interval.
Plotting outputs will give different graphs depending on the
methods requested : basic reproductive number estimations will
only show the epidemic curve (collected data) and an adjusted
model, whereas real-time methods will also show the R(t)
variations throughout the outbreak time period. Sensitivity
analysis tools are also provided, and allow for investigating
effects of varying Generation Time distribution or time window
on estimates.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-07-27 08:04:11 UTC; thomas
Repository: CRAN
Date/Publication: 2012-07-27 08:59:31

Package: R0
Type: Package
Title: Estimation of R0 and real-time reproduction number from
epidemics
Version: 1.2-0
Date: 2012-11-21
Author: Pierre-Yves Boelle, Thomas Obadia
Maintainer: Thomas Obadia <obadia@u707.jussieu.fr>
Depends: R (>= 2.13.0), MASS
Suggests: epicalc
Description: This package is designed to estimate reproduction numbers
for disease outbreak, based on incidence data. It implements
several documented methods. It is therefore possible to compare
estimations according to the methods used. Depending on the
methods requested by user, basic reproduction number (commonly
denoted as R0) or real-time reproduction number (referred to as
R(t)) is computed, along with a 95% Confidence Interval.
Plotting outputs will give different graphs depending on the
methods requested : basic reproductive number estimations will
only show the epidemic curve (collected data) and an adjusted
model, whereas real-time methods will also show the R(t)
variations throughout the outbreak time period. Sensitivity
analysis tools are also provided, and allow for investigating
effects of varying Generation Time distribution or time window
on estimates.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2012-11-22 10:44:26 UTC; thomas
Repository: CRAN
Date/Publication: 2012-11-22 10:58:02