| Name : R-glmpermu
| |
| Version : 0.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:09:35
|
| Group : Development/Libraries/Other
| Source RPM : R-glmpermu-0.0.1-lp153.2.2.src.rpm
|
| Size : 0.02 MB
| |
| Packager : (none)
| |
| Summary : Permutation-Based Inference for Generalized Linear Models
|
Description :
In practical applications, the assumptions underlying generalized
linear models frequently face violations, including incorrect
specifications of the outcome variable\'s distribution or omitted
predictors. These deviations can render the results of standard
generalized linear models unreliable. As the sample size increases,
what might initially appear as minor issues can escalate to critical
concerns. To address these challenges, we adopt a permutation-based
inference method tailored for generalized linear models. This approach
offers robust estimations that effectively counteract the mentioned
problems, and its effectiveness remains consistent regardless of the
sample size.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
