| Name : R-mvglmmRank
| |
| Version : 1.2.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.7
| Date : 2024-06-14 11:22:09
|
| Group : Development/Libraries/Other
| Source RPM : R-mvglmmRank-1.2.4-lp153.1.7.src.rpm
|
| Size : 0.41 MB
| |
| Packager : (none)
| |
| Summary : Multivariate Generalized Linear Mixed Models for Ranking Sports Teams
|
Description :
Maximum likelihood estimates are obtained via an EM algorithm with
either a first-order or a fully exponential Laplace approximation as
documented by Broatch and Karl (2018) < doi:10.48550/arXiv.1710.05284>,
Karl, Yang, and Lohr (2014) < doi:10.1016/j.csda.2013.11.019>, and by
Karl (2012) < doi:10.1515/1559-0410.1471>. Karl and Zimmerman
< doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the
home field effect estimator from a mixed model can be biased under
nonrandom scheduling.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
