| Name : R-mixEMM
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:11:02
|
| Group : Development/Libraries/Other
| Source RPM : R-mixEMM-1.0-lp153.2.13.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : A Mixed-Effects Model for Analyzing Cluster-Level Non-Ignorable Missing Data
|
Description :
Contains functions for estimating a mixed-effects model for clustered
data (or batch-processed data) with cluster-level (or batch- level)
missing values in the outcome, i.e., the outcomes of some clusters are
either all observed or missing altogether. The model is developed for
analyzing incomplete data from labeling-based quantitative proteomics
experiments but is not limited to this type of data. We used an
expectation conditional maximization (ECM) algorithm for model
estimation. The cluster-level missingness may depend on the average
value of the outcome in the cluster (missing not at random).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
