| Name : R-iterLap
| |
| Version : 1.1.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:27:04
|
| Group : Development/Libraries/Other
| Source RPM : R-iterLap-1.1.4-lp153.1.5.src.rpm
|
| Size : 0.08 MB
| |
| Packager : (none)
| |
| Summary : Approximate Probability Densities by Iterated Laplace Approximations
|
Description :
The iterLap (iterated Laplace approximation) algorithm approximates a
general (possibly non-normalized) probability density on R^p, by
repeated Laplace approximations to the difference between current
approximation and true density (on log scale). The final approximation
is a mixture of multivariate normal distributions and might be used for
example as a proposal distribution for importance sampling (eg in
Bayesian applications). The algorithm can be seen as a computational
generalization of the Laplace approximation suitable for skew or
multimodal densities.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
