| Name : R-brms
| |
| Version : 2.21.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp155.1.1
| Date : 2024-09-18 07:09:28
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| Group : Development/Libraries/Other
| Source RPM : R-brms-2.21.0-lp155.1.1.src.rpm
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| Size : 8.38 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Bayesian Regression Models using \'Stan\'
|
Description :
Fit Bayesian generalized (non-)linear multivariate multilevel models
using \'Stan\' for full Bayesian inference. A wide range of distributions
and link functions are supported, allowing users to fit -- among others
-- linear, robust linear, count data, survival, response times,
ordinal, zero-inflated, hurdle, and even self-defined mixture models
all in a multilevel context. Further modeling options include both
theory-driven and data-driven non-linear terms, auto-correlation
structures, censoring and truncation, meta-analytic standard errors,
and quite a few more. In addition, all parameters of the response
distribution can be predicted in order to perform distributional
regression. Prior specifications are flexible and explicitly encourage
users to apply prior distributions that actually reflect their prior
knowledge. Models can easily be evaluated and compared using several
methods assessing posterior or prior predictions. References: Bürkner
(2017) < doi:10.18637/jss.v080.i01> Bürkner (2018)
< doi:10.32614/RJ-2018-017> Bürkner (2021) < doi:10.18637/jss.v100.i05>
Carpenter et al. (2017) < doi:10.18637/jss.v076.i01>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
