| surveyCV {surveyCV} | R Documentation |
surveyCV: 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.
Details
The code for this package seeks to create an alternative for the
boot::cv.glm
function, so that results correctly account for survey designs during
K-fold cross validation.