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")),
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"),
comment = c(ORCID = "0000-0002-8587-7113"))
)
stats, distcrete, EpiEstim, epitrix, ggplot2
testthat, vdiffr, roxygen2, incidence, knitr, rmarkdown,
projections, covr
Thibaut Jombart [aut, cre],
Anne Cori [aut],
Pierre Nouvellet [aut],
Janetta Skarp [aut],
Zhian N. Kamvar [ctb],
Tim Taylor [ctb] (<https://orcid.org/0000-0002-8587-7113>)

Properties of Bayesian Early Gating Designs
person("Elias Laurin", "Meyer", email = "elias.meyer@meduniwien.ac.at",
role = c("aut", "cre"))
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.

Early Warning Signals Toolbox for Detecting Critical Transitions
in Timeseries
Vasilis Dakos <vasilis.dakos@gmail.com>, with contributions
from S.R.  Carpenter, T. Cline, L. Lahti
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
Ecological Data. PLoS ONE 7(7):e41010
R (>= 2.14.0), lmtest, nortest, stats, som, Kendall,
KernSmooth, moments, fields, spam, tseries, quadprog, akima,
ggplot2
'data.R' 'BDSboot.R' 'bdstest_ews.R' 'ch_ews.R'
'ddjnonparam_ews.R' 'earlywarnings-internal.R' 'generic_ews.R'
'sensitivity_ews.R' 'surrogates_ews.R' 'potential_ews.R'