c(
person("Marc A.", "Suchard", email = "msuchard@ucla.edu", role = c("aut","cre","cph")),
person("Andrew", "Rambaut", role = "cph"),
person("Alexei J.", "Drummond", role = "cph")
)
Provides JAR to perform Markov chain Monte Carlo (MCMC) inference using
the popular Bayesian Evolutionary Analysis by Sampling Trees 'BEAST' software library
of Suchard et al (2018) <doi:10.1093/ve/vey016>. 'BEAST' supports auto-tuning
Metropolis-Hastings, slice, Hamiltonian Monte Carlo and Sequential Monte Carlo
sampling for a large variety of composable standard and phylogenetic statistical
models using high performance computing.  By placing the 'BEAST' JAR in this package,
we offer an efficient distribution system for 'BEAST' use by other R packages using
CRAN.
Marc A. Suchard [aut, cre, cph],
Andrew Rambaut [cph],
Alexei J. Drummond [cph]

General Unified Threshold Model of Survival for Bees using
Bayesian Inference
c(
person(given = "Benoit",
family = "Goussen",
role = c("aut", "cre"),
email = "benoit.goussen@ibacon.com",
comment = c(ORCID = "0000-0001-7204-7981")),
person(given = "Liubov",
family = "Zakharova",
role = c("ctb"),
email = "liubov.zakharova@ibacon.com"),
person(given = "Romoli",
family = "Carlo",
role = c("ctb"),
email = "carlo.romoli@ibacon.com"),
person("Bayer AG",
role = "cph")
)
Tools to calibrate, validate, and make predictions with the
General Unified Threshold model of Survival adapted for Bee species. The
model is presented in the publication from Baas, J., Goussen, B., Miles, M.,
Preuss, T.G., Roessing, I. (submitted) and is based on the GUTS framework
Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011) <doi:10.1021/es103092a>.
The authors are grateful to Bayer A.G. for its financial support.
methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
2.18.1), rstantools (>= 2.1.1), data.table, tidyr, ggplot2,
cowplot, dplyr, magrittr, utils, gridExtra, odeGUTS
Benoit Goussen [aut, cre] (<https://orcid.org/0000-0001-7204-7981>),
Liubov Zakharova [ctb],
Romoli Carlo [ctb],
Bayer AG [cph]