| Name : R-bsamGP
| |
| Version : 1.2.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:52:35
|
| Group : Development/Libraries/Other
| Source RPM : R-bsamGP-1.2.5-lp153.2.2.src.rpm
|
| Size : 1.35 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Spectral Analysis Models using Gaussian Process Priors
|
Description :
Contains functions to perform Bayesian inference using a spectral
analysis of Gaussian process priors. Gaussian processes are represented
with a Fourier series based on cosine basis functions. Currently the
package includes parametric linear models, partial linear additive
models with/without shape restrictions, generalized linear additive
models with/without shape restrictions, and density estimation model.
To maximize computational efficiency, the actual Markov chain Monte
Carlo sampling for each model is done using codes written in FORTRAN
90. This software has been developed using funding supported by Basic
Science Research Program through the National Research Foundation of
Korea (NRF) funded by the Ministry of Education (no.
NRF-2016R1D1A1B03932178 and no. NRF-2017R1D1A3B03035235).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
