Package: BaPreStoPro
Type: Package
Title: Bayesian Prediction of Stochastic Processes
Version: 0.1
Date: 2016-06-07
Author: Simone Hermann
Maintainer: Simone Hermann <hermann@statistik.tu-dortmund.de>
Description: Bayesian estimation and prediction for stochastic processes based
    on the Euler approximation. Considered processes are: jump diffusion,
    (mixed) diffusion models, hidden (mixed) diffusion models, non-homogeneous
    Poisson processes (NHPP), (mixed) regression models for comparison and a
    regression model including a NHPP.
License: GPL (>= 2)
Depends: stats, methods, graphics
LazyData: TRUE
NeedsCompilation: no
Packaged: 2016-06-07 09:09:22 UTC; Simone
Repository: CRAN
Date/Publication: 2016-06-07 14:28:11
Built: R 3.6.0; ; 2019-05-28 20:53:56 UTC; windows
