| Name : R-eMLEloglin
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 11:19:15
|
| Group : Development/Libraries/Other
| Source RPM : R-eMLEloglin-1.0.1-lp153.3.7.src.rpm
|
| Size : 0.28 MB
| |
| Packager : (none)
| |
| Summary : Fitting log-Linear Models in Sparse Contingency Tables
|
Description :
Log-linear modeling is a popular method for the analysis of contingency
table data. When the table is sparse, the data can fall on the boundary
of the convex support, and we say that \"the MLE does not exist\" in the
sense that some parameters cannot be estimated. However, an extended
MLE always exists, and a subset of the original parameters will be
estimable. The \'eMLEloglin\' package determines which sampling zeros
contribute to the non-existence of the MLE. These problematic zero
cells can be removed from the contingency table and the model can then
be fit (as far as is possible) using the glm() function.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
