| Name : R-GLMMselect
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:00:21
|
| Group : Development/Libraries/Other
| Source RPM : R-GLMMselect-1.2.0-lp153.1.5.src.rpm
|
| Size : 0.14 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Model Selection for Generalized Linear Mixed Models
|
Description :
A Bayesian model selection approach for generalized linear mixed
models. Currently, \'GLMMselect\' can be used for Poisson GLMM and
Bernoulli GLMM. \'GLMMselect\' can select fixed effects and random
effects simultaneously. Covariance structures for the random effects
are a product of a unknown scalar and a known semi-positive definite
matrix. \'GLMMselect\' can be widely used in areas such as longitudinal
studies, genome-wide association studies, and spatial statistics.
\'GLMMselect\' is based on Xu, Ferreira, Porter, and Franck (202X),
Bayesian Model Selection Method for Generalized Linear Mixed Models,
Biometrics, under review.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
