Depends: stats, utils, graphics, grDevices, MASS, class, robustbase

Depends: stats, utils, graphics, grDevices, MASS, class, robustbase,

Depends: R (>= 2.10), stats, utils, graphics, grDevices, MASS, class,
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).

Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.

Packaged: 2018-04-30 14:35:40 UTC; oleksii.pokotylo

Packaged: 2018-06-22 13:03:25 UTC; pavlo.mozharovskyi

Title: Solve Delay Differential Equations
person("Imperial College of Science, Technology and Medicine",
Description: Solves ordinary and delay differential equations, where
the objective function is written in either R or C.  Suitable only
for non-stiff equations, the solver uses a 'Dormand-Prince' method
that allows interpolation of the solution at any point.  This
approach is as described by Hairer, Norsett and Wanner (1993)
<ISBN:3540604529>.  Support is also included for iterating
Suggests: deSolve, knitr, microbenchmark, rmarkdown, testthat
Imperial College of Science, Technology and Medicine [cph]