r-cran-loo 2.5.1-1 source package in Ubuntu
Changelog
r-cran-loo (2.5.1-1) unstable; urgency=medium
* Team upload.
* New upstream version 2.5.1
* Skip a failing test on archs other than M1 Mac (arm64) as well
(Closes: #1008754)
-- Nilesh Patra <email address hidden> Mon, 16 May 2022 17:32:00 +0530
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 | Published | Component | Section | |
|---|---|---|---|---|
| Lunar | release | universe | misc | |
| Kinetic | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-loo_2.5.1-1.dsc | 2.0 KiB | fe23eb69cc6e2a51a68a307315278a3f1e66b07f97b1278eaa5e871593f99dca |
| r-cran-loo_2.5.1.orig.tar.gz | 2.5 MiB | 3cafd8ce30e348fd1f76f05ba44b967d64045c65f4580ba504530ecdf50e5825 |
| r-cran-loo_2.5.1-1.debian.tar.xz | 3.5 KiB | cdf2c7acf9581f453fbf4c3537129ad086a0ac2f8f2fcce049055a083e49a5e3 |
Available diffs
- diff from 2.4.1-1 to 2.5.1-1 (1.4 MiB)
- diff from 2.5.0-1 to 2.5.1-1 (6.3 KiB)
No changes file available.
Binary packages built by this source
- r-cran-loo: GNU R leave-one-out cross-validation and WAIC for Bayesian models
Efficient approximate leave-one-out cross-validation (LOO) for Bayesian
models fit using Markov chain Monte Carlo. The approximation uses Pareto
smoothed importance sampling (PSIS), a new procedure for regularizing
importance weights. As a byproduct of the calculations, it is possible
as well to obtain approximate standard errors for estimated predictive
errors and for the comparison of predictive errors between models. The
package also provides methods for using stacking and other model
weighting techniques to average Bayesian predictive distributions.
