| Name : R-ipflasso
| |
| Version : 1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.4.1
| Date : 2024-09-10 03:17:34
|
| Group : Development/Libraries/Other
| Source RPM : R-ipflasso-1.1-lp156.4.1.src.rpm
|
| Size : 0.05 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Integrative Lasso with Penalty Factors
|
Description :
The core of the package is cvr2.ipflasso(), an extension of glmnet to
be used when the (large) set of available predictors is partitioned
into several modalities which potentially differ with respect to their
information content in terms of prediction. For example, in biomedical
applications patient outcome such as survival time or response to
therapy may have to be predicted based on, say, mRNA data, miRNA data,
methylation data, CNV data, clinical data, etc. The clinical predictors
are on average often much more important for outcome prediction than
the mRNA data. The ipflasso method takes this problem into account by
using different penalty parameters for predictors from different
modalities. The ratio between the different penalty parameters can be
chosen from a set of optional candidates by cross-validation or
alternatively generated from the input data.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
