Argument Table Generation for Sensitivity Analysis
Simplified scenario testing and sensitivity analysis,
redesigned to use packages 'future' and 'furrr'. Provides
functions for generating function argument sets using
one-factor-at-a-time (OFAT) and (sampled) permutations.

Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Provides functions for the Bayesian analysis of extreme value
models.  The 'rust' package <https://cran.r-project.org/package=rust> is
used to simulate a random sample from the required posterior distribution.
The functionality of 'revdbayes' is similar to the 'evdbayes' package
<https://cran.r-project.org/package=evdbayes>, which uses Markov Chain
Monte Carlo (MCMC) methods for posterior simulation.  See the 'revdbayes'
website for more information, documentation and examples.
stats, graphics, methods, spatstat, rust (>= 1.1.0)
knitr, rmarkdown, testthat, devtools, evdbayes

Provides functions for the Bayesian analysis of extreme value
models.  The 'rust' package <https://cran.r-project.org/package=rust> is
used to simulate a random sample from the required posterior distribution.
The functionality of 'revdbayes' is similar to the 'evdbayes' package
<https://cran.r-project.org/package=evdbayes>, which uses Markov Chain
Monte Carlo ('MCMC') methods for posterior simulation.  See the 'revdbayes'
website for more information, documentation and examples.
stats, graphics, methods, utils, rust (>= 1.1.0), bayesplot
(>= 1.1.0)
knitr, rmarkdown, devtools, evdbayes, ggplot2 (>= 2.2.1)

stats, graphics, methods, utils, rust (>= 1.2.2), bayesplot
(>= 1.1.0), Rcpp
knitr, rmarkdown, evdbayes, microbenchmark, ggplot2 (>=
2.2.1), testthat

Provides functions for the Bayesian analysis of extreme value
models.  The 'rust' package <https://cran.r-project.org/package=rust> is
used to simulate a random sample from the required posterior distribution.
The functionality of 'revdbayes' is similar to the 'evdbayes' package
<https://cran.r-project.org/package=evdbayes>, which uses Markov Chain
Monte Carlo ('MCMC') methods for posterior simulation.  Also provided
are functions for making inferences about the extremal index, using
the K-gaps model of Suveges and Davison (2010) <doi:10.1214/09-AOAS292>.
See the 'revdbayes' website for more information, documentation and
examples.
bayesplot (>= 1.1.0), graphics, methods, Rcpp, rust (>=
1.2.2), stats, utils
evdbayes, ggplot2 (>= 2.2.1), knitr, microbenchmark,
rmarkdown, testthat