| Name : R-inlabru
| |
| Version : 2.11.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.1.1
| Date : 2024-07-02 09:08:42
|
| Group : Development/Libraries/Other
| Source RPM : R-inlabru-2.11.1-lp155.1.1.src.rpm
|
| Size : 3.52 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Latent Gaussian Modelling using INLA and Extensions
|
Description :
Facilitates spatial and general latent Gaussian modeling using
integrated nested Laplace approximation via the INLA package
(< https://www.r-inla.org>). Additionally, extends the GAM-like model
class to more general nonlinear predictor expressions, and implements a
log Gaussian Cox process likelihood for modeling univariate and spatial
point processes based on ecological survey data. Model components are
specified with general inputs and mapping methods to the latent
variables, and the predictors are specified via general R expressions,
with separate expressions for each observation likelihood model in
multi-likelihood models. A prediction method based on fast Monte Carlo
sampling allows posterior prediction of general expressions of the
latent variables. Ecology-focused introduction in Bachl, Lindgren,
Borchers, and Illian (2019) < doi:10.1111/2041-210X.13168>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
