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r-cran-brms package

r-cran-brms 2.20.4-1 source package in Ubuntu

Changelog

r-cran-brms (2.20.4-1) unstable; urgency=medium

  * New upstream version
  * dh-update-R to update Build-Depends (routine-update)

 -- Andreas Tille <email address hidden>  Fri, 27 Oct 2023 16:55:06 +0200

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc

Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-brms_2.20.4-1.dsc 2.7 KiB e8c48e44a912afc231d0c1688840949db5ceb1bb4604722c503f39ceaea9cce0
r-cran-brms_2.20.4.orig.tar.gz 4.4 MiB 00a6f3ea690c4e6b3e645e0a366d8a93c9bd51151b9376d01011ab95e332072f
r-cran-brms_2.20.4-1.debian.tar.xz 3.7 KiB 97b0ff9286fae91d1782c5508b488c8fbc53287f79385001b03a1a49ccb330df

No changes file available.

Binary packages built by this source

r-cran-brms: GNU R Bayesian regression models using 'Stan'

 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 non-linear and
 smooth terms, auto-correlation structures, censored data, 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 beliefs. Model fit can easily be assessed and compared
 with posterior predictive checks and leave-one-out cross-validation.