| Name : R-CARBayes
| |
| Version : 6.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.4.3
| Date : 2024-07-18 15:37:52
|
| Group : Development/Libraries/Other
| Source RPM : R-CARBayes-6.1.1-lp153.4.3.src.rpm
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| Size : 1.59 MB
| |
| Packager : (none)
| |
| Summary : Spatial Generalised Linear Mixed Models for Areal Unit Data
|
Description :
Implements a class of univariate and multivariate spatial generalised
linear mixed models for areal unit data, with inference in a Bayesian
setting using Markov chain Monte Carlo (MCMC) simulation using a single
or multiple Markov chains. The response variable can be binomial,
Gaussian, multinomial, Poisson or zero-inflated Poisson (ZIP), and
spatial autocorrelation is modelled by a set of random effects that are
assigned a conditional autoregressive (CAR) prior distribution. A
number of different models are available for univariate spatial data,
including models with no random effects as well as random effects
modelled by different types of CAR prior, including the BYM model
(Besag et al., 1991, < doi:10.1007/BF00116466>) and Leroux model (Leroux
et al., 2000, < doi:10.1007/978-1-4612-1284-3_4>). Additionally, a
multivariate CAR (MCAR) model for multivariate spatial data is
available, as is a two-level hierarchical model for modelling data
relating to individuals within areas. Full details are given in the
vignette accompanying this package. The initial creation of this
package was supported by the Economic and Social Research Council
(ESRC) grant RES-000-22-4256, and on-going development has been
supported by the Engineering and Physical Science Research Council
(EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, Innovate UK /
Natural Environment Research Council (NERC) grant NE/N007352/1 and the
TB Alliance.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
