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r-cran-susier package

r-cran-susier 0.12.35+dfsg-1 source package in Ubuntu

Changelog

r-cran-susier (0.12.35+dfsg-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)

 -- Andreas Tille <email address hidden>  Sun, 26 Feb 2023 12:53:09 +0100

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
Mantic release universe misc

Builds

Mantic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-susier_0.12.35+dfsg-1.dsc 2.2 KiB 8104a17fd1c168fff8c2726c4516e39bcf30a54bff67d8aa83a5aa7019dafb1a
r-cran-susier_0.12.35+dfsg.orig.tar.xz 1.5 MiB 9f2fae05b3511428e9a27f9cd60adf7419b80a711d9319d24a7561e38816db4b
r-cran-susier_0.12.35+dfsg-1.debian.tar.xz 3.7 KiB 8a66c22d04b39c3d12e7f4702f82d753d3afeeace977d8ce6252782a73113047

Available diffs

No changes file available.

Binary packages built by this source

r-cran-susier: GNU R sum of single effects linear regression

 Implements methods for variable selection in linear
 regression based on the "Sum of Single Effects" (SuSiE) model, as
 described in Wang et al (2020) <DOI:10.1101/501114>. These methods
 provide simple summaries, called "Credible Sets", for accurately
 quantifying uncertainty in which variables should be selected.
 The methods are motivated by genetic fine-mapping applications,
 and are particularly well-suited to settings where variables are
 highly correlated and detectable effects are sparse. The fitting
 algorithm, a Bayesian analogue of stepwise selection methods
 called "Iterative Bayesian Stepwise Selection" (IBSS), is simple
 and fast, allowing the SuSiE model be fit to large data sets
 (thousands of samples and hundreds of thousands of variables).