Authors@R: c(person('Miquel', 'Garriga', email = 'gbmiquel@gmail.com', role = c('aut', 'cph')),
person('Stefan', 'Gerlach', email = 'stefan.gerlach@uni-konstanz.de', role = c('aut', 'cph')),
person('Ion', 'Vasilief', email = 'ion_vasilief@yahoo.fr', role = c('aut', 'cph')),
person('Alex', 'Kargovsky', email = 'kargovsky@yumr.phys.msu.su', role = c('aut', 'cph')),
person('Knut', 'Franke', email = 'Knut.Franke@gmx.de', role = c('ctb', 'cph')),
person('Alexander', 'Semke', email = 'alexander.semke@web.de', role = c('ctb', 'cph')),
person('Tilman', 'Benkert', email = 'thzs@gmx.net', role = c('ctb', 'cph')),
person('Kasper', 'Peeters', email = 'kasper.peeters@aei.mpg.de', role = c('ctb', 'cph')),
person('Russell', 'Standish', role = c('ctb', 'cph')),
person('Ivan', 'Krylov', email = 'krylov.r00t@gmail.com', role = c('cre', 'cph')))
Description: Read the data from Origin(R) project files ('*.opj')
For now, only spreadsheet objects are imported as data frames
and no export is planned. More object types may be available to

No write support is planned. More object types may be available

Title: Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo
Description: New Markov chain Monte Carlo (MCMC) samplers new to be thoroughly tested
and their performance accurately assessed. This requires densities
that offer challenging properties to the novel sampling algorithms.
One such popular problem is the Rosenbrock function. However, while its
shape lends itself well to a benchmark problem, no codified multivariate expansion
of the density exists. We have developed an extension to this class of distributions
and supplied densities and direct sampler functions to assess the performance
of novel MCMC algorithms. The functions are introduced in "An n-dimensional Rosenbrock
Distribution for MCMC Testing" by Pagani, Wiegand and Nadarajah (2019) <arXiv:1903.09556>.

Title: Rothermel fire spread model for R
Author: Giorgio Vacchiano, Davide Ascoli
Description: R build of Rothermel's (1972) model for surface fire rate of spread with some additional utilities (uncertainty propagation, best standard fuel model selection) and sample datasets.