Przemyslaw Biecek (R code), Teresa Ledwina (support, descriptions)

Przemyslaw Biecek (R code), Teresa Ledwina (support,
descriptions)

Smooth testing of goodness of fit. These tests are data
driven (alternative hypothesis is dynamically selected based on data). In this
package you will find various tests for exponent, Gaussian, Gumbel and uniform
distribution.

Bayesian Inference for Differential Equations
c(
person("Philipp H", "Boersch-Supan", email = "pboesu@gmail.com", role = c("aut","cre")),
person("Leah R", "Johnson", email = "lrjohnson0@gmail.com", role = "aut"),
person("Sadie J", "Ryan", email = "datamonkey@gmail.com", role = "aut"))
A Bayesian framework for parameter inference in differential equations.
This approach offers a rigorous methodology for parameter inference as well as
modeling the link between unobservable model states and parameters, and
observable quantities. Provides templates for the DE model, the
observation model and data likelihood, and the model parameters and their prior
distributions. A Markov chain Monte Carlo (MCMC) procedure processes these inputs
to estimate the posterior distributions of the parameters and any derived
quantities, including the model trajectories. Further functionality is provided
to facilitate MCMC diagnostics and the visualisation of the posterior distributions
of model parameters and trajectories.
truncdist, coda, RColorBrewer, MASS, stats, mvtnorm, graphics,
grDevices, plyr, PBSddesolve, methods
testthat, knitr, rmarkdown, devtools, R.rsp, microbenchmark,
beanplot
Philipp H Boersch-Supan [aut, cre],
Leah R Johnson [aut],
Sadie J Ryan [aut]

c(
person("Philipp H", "Boersch-Supan", email = "pboesu@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0000-0001-6723-6833")),
person("Leah R", "Johnson", email = "lrjohnson0@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-9922-579X")),
person("Sadie J", "Ryan", email = "datamonkey@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4308-6321"))
)
testthat, knitr, rmarkdown, devtools, R.rsp, beanplot
Philipp H Boersch-Supan [aut, cre]
(<https://orcid.org/0000-0001-6723-6833>),
Leah R Johnson [aut] (<https://orcid.org/0000-0002-9922-579X>),
Sadie J Ryan [aut] (<https://orcid.org/0000-0002-4308-6321>)