| Name : R-WeMix
| |
| Version : 4.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.4.1
| Date : 2024-06-20 13:48:43
|
| Group : Development/Libraries/Other
| Source RPM : R-WeMix-4.0.3-lp154.4.1.src.rpm
|
| Size : 0.70 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Weighted Mixed-Effects Models Using Multilevel Pseudo Maximum Likelihood Estimation
|
Description :
Run mixed-effects models that include weights at every level. The WeMix
package fits a weighted mixed model, also known as a multilevel, mixed,
or hierarchical linear model (HLM). The weights could be inverse
selection probabilities, such as those developed for an education
survey where schools are sampled probabilistically, and then students
inside of those schools are sampled probabilistically. Although
mixed-effects models are already available in R, WeMix is unique in
implementing methods for mixed models using weights at multiple levels.
Both linear and logit models are supported. Models may have up to three
levels. Random effects are estimated using the PIRLS algorithm from
\'lme4pureR\' (Walker and Bates (2013)
< https://github.com/lme4/lme4pureR>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
