| Name : R-surveyCV
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.4.1
| Date : 2024-06-24 14:46:42
|
| Group : Development/Libraries/Other
| Source RPM : R-surveyCV-0.2.0-lp156.4.1.src.rpm
|
| Size : 1.07 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Cross Validation Based on Survey Design
|
Description :
Functions to generate K-fold cross validation (CV) folds and CV test
error estimates that take into account how a survey dataset\'s sampling
design was constructed (SRS, clustering, stratification, and/or unequal
sampling weights). You can input linear and logistic regression models,
along with data and a type of survey design in order to get an output
that can help you determine which model best fits the data using K-fold
cross validation. Our paper on \"K-Fold Cross-Validation for Complex
Sample Surveys\" by Wieczorek, Guerin, and McMahon (2022)
< doi:10.1002/sta4.454> explains why differing how we take folds based
on survey design is useful.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
