| Name : R-milr
| |
| Version : 0.3.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.5.1
| Date : 2024-09-10 03:17:56
|
| Group : Development/Libraries/Other
| Source RPM : R-milr-0.3.1-lp156.5.1.src.rpm
|
| Size : 0.42 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Multiple-Instance Logistic Regression with LASSO Penalty
|
Description :
The multiple instance data set consists of many independent subjects
(called bags) and each subject is composed of several components
(called instances). The outcomes of such data set are binary or
categorical responses, and, we can only observe the subject-level
outcomes. For example, in manufacturing processes, a subject is labeled
as \"defective\" if at least one of its own components is defective, and
otherwise, is labeled as \"non-defective\". The \'milr\' package focuses on
the predictive model for the multiple instance data set with binary
outcomes and performs the maximum likelihood estimation with the
Expectation-Maximization algorithm under the framework of logistic
regression. Moreover, the LASSO penalty is attached to the likelihood
function for simultaneous parameter estimation and variable selection.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
