| Name : R-pldamixture
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.2
| Date : 2024-06-14 11:11:22
|
| Group : Development/Libraries/Other
| Source RPM : R-pldamixture-0.1.1-lp153.1.2.src.rpm
|
| Size : 0.13 MB
| |
| Packager : (none)
| |
| Summary : Post-Linkage Data Analysis Based on Mixture Modelling
|
Description :
Perform inference in the secondary analysis setting with linked data
potentially containing mismatch errors. Only the linked data file may
be accessible and information about the record linkage process may be
limited or unavailable. Implements the \'General Framework for
Regression with Mismatched Data\' developed by Slawski et al. (2023)
< doi:10.48550/arXiv.2306.00909>. The framework uses a mixture model for
pairs of linked records whose two components reflect distributions
conditional on match status, i.e., correct match or mismatch. Inference
is based on composite likelihood and the Expectation-Maximization (EM)
algorithm. The package currently supports Cox Proportional Hazards
Regression (right-censored data only) and Generalized Linear Regression
Models (Gaussian, Gamma, Poisson, and Logistic (binary models only)).
Information about the underlying record linkage process can be
incorporated into the method if available (e.g., assumed overall
mismatch rate, safe matches, predictors of match status, or predicted
probabilities of correct matches).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
