| Name : R-walker
| |
| Version : 1.0.10
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-18 14:28:51
|
| Group : Development/Libraries/Other
| Source RPM : R-walker-1.0.10-lp153.1.1.src.rpm
|
| Size : 5.97 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Generalized Linear Models with Time-Varying Coefficients
|
Description :
Efficient Bayesian generalized linear models with time-varying
coefficients as in Helske (2022, < doi:10.1016/j.softx.2022.101016>).
Gaussian, Poisson, and binomial observations are supported. The Markov
chain Monte Carlo (MCMC) computations are done using Hamiltonian Monte
Carlo provided by Stan, using a state space representation of the model
in order to marginalise over the coefficients for efficient sampling.
For non-Gaussian models, the package uses the importance sampling type
estimators based on approximate marginal MCMC as in Vihola, Helske,
Franks (2020, < doi:10.1111/sjos.12492>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
