| Name : R-SMM
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.7
| Date : 2024-06-14 11:47:09
|
| Group : Development/Libraries/Other
| Source RPM : R-SMM-1.0.2-lp153.7.7.src.rpm
|
| Size : 0.98 MB
| |
| Packager : (none)
| |
| Summary : Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models
|
Description :
Performs parametric and non-parametric estimation and simulation for
multi-state discrete-time semi-Markov processes. For the parametric
estimation, several discrete distributions are considered for the
sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and
Negative Binomial. The non-parametric estimation concerns the sojourn
time distributions, where no assumptions are done on the shape of
distributions. Moreover, the estimation can be done on the basis of one
or several sample paths, with or without censoring at the beginning
or/and at the end of the sample paths. The implemented methods are
described in Barbu, V.S., Limnios, N. (2008)
< doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008)
< doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011)
< doi:10.1080/10485252.2011.555543>. Estimation and simulation of
discrete-time k-th order Markov chains are also considered.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
