| Name : R-susieR
| |
| Version : 0.12.35
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-06-24 15:00:11
|
| Group : Development/Libraries/Other
| Source RPM : R-susieR-0.12.35-lp156.1.1.src.rpm
|
| Size : 2.51 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Sum of Single Effects Linear Regression
|
Description :
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> and Zou et al (2021)
< DOI:10.1101/2021.11.03.467167>. 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).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
