| Name : R-glmMisrep
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.2
| Date : 2024-06-14 11:27:01
|
| Group : Development/Libraries/Other
| Source RPM : R-glmMisrep-0.1.1-lp153.2.2.src.rpm
|
| Size : 0.27 MB
| |
| Packager : (none)
| |
| Summary : Generalized Linear Models Adjusting for Misrepresentation
|
Description :
Fit Generalized Linear Models to continuous and count outcomes, as well
as estimate the prevalence of misrepresentation of an important binary
predictor. Misrepresentation typically arises when there is an
incentive for the binary factor to be misclassified in one direction
(e.g., in insurance settings where policy holders may purposely deny a
risk status in order to lower the insurance premium). This is
accomplished by treating a subset of the response variable as resulting
from a mixture distribution. Model parameters are estimated via the
Expectation Maximization algorithm and standard errors of the estimates
are obtained from closed forms of the Observed Fisher Information. For
an introduction to the models and the misrepresentation framework, see
Xia et. al., (2023)
< https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
