Title: Estimation of Transmissibility in the Early Stages of a Disease
Authors@R: c(person("Thibaut", "Jombart", email = "thibautjombart@gmail.com", role = c("aut", "cre")),
person("Anne", "Cori", email = "a.cori@imperial.ac.uk", role = c("aut")),
person("Pierre", "Nouvellet", email = "p.nouvellet@imperial.ac.uk", role = c("aut")))
Description: Implements a simple, likelihood-based estimation of the reproduction number (R0) using a branching process with a Poisson likelihood. This model requires knowledge of the serial interval distribution, and dates of symptom onsets. Infectiousness is determined by weighting R0 by the probability mass function of the serial interval on the corresponding day. It is a simplified version of the model introduced by Cori et al. (2013) <doi:10.1093/aje/kwt133>.
Imports: stats, distcrete, EpiEstim, epitrix
Suggests: testthat, vdiffr, roxygen2, incidence, knitr

person("Pierre", "Nouvellet", email = "p.nouvellet@imperial.ac.uk", role = c("aut")),
person("Janetta", "Skarp", email = "janetta.skarp13@imperial.ac.uk", role = c("aut")),
person("Zhian N.", "Kamvar", email = "zkamvar@gmail.com", role = c("ctb")),
person("Tim", "Taylor", email = "tim.taylor@hiddenelephants.co.uk", role = c("ctb"),
Imports: stats, distcrete, EpiEstim, epitrix, ggplot2
Suggests: testthat, vdiffr, roxygen2, incidence, knitr, rmarkdown,

Title: Properties of Bayesian Early Gating Designs
Authors@R: person("Elias Laurin", "Meyer", email = "elias.meyer@meduniwien.ac.at",
Description: Computes the most important properties of four 'Bayesian' early gating
designs (two single arm and two randomized controlled designs), such
as minimum required number of successes in the experimental group to
make a GO decision, operating characteristics and average operating
characteristics with respect to the sample size.
These might aid in deciding what design to use for the early phase trial.
Imports: doParallel, betareg, foreach, parallel

Title: Early Warning Signals Toolbox for Detecting Critical Transitions
Author: Vasilis Dakos <vasilis.dakos@gmail.com>, with contributions
from S.R.  Carpenter, T. Cline, L. Lahti
Description: The Early-Warning-Signals Toolbox provides methods for
estimating statistical changes in timeseries that can be used
for identifying nearby critical transitions. Based on Dakos et
al (2012) Methods for Detecting Early Warnings of Critical
Transitions in Time Series Illustrated Using Simulated
Depends: R (>= 2.14.0), lmtest, nortest, stats, som, Kendall,
KernSmooth, moments, fields, spam, tseries, quadprog, akima,
Collate: 'data.R' 'BDSboot.R' 'bdstest_ews.R' 'ch_ews.R'
Packaged: 2013-02-27 09:02:36 UTC; vasilisdakos