Package: surveyCV 0.2.0.9003

Jerzy Wieczorek

surveyCV: Cross Validation Based on Survey Design

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.

Authors:Cole Guerin [aut], Thomas McMahon [aut], Jerzy Wieczorek [cre, aut], Ben Schneider [ctb], Hunter Ratliff [ctb]

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surveyCV.pdf |surveyCV.html✨
surveyCV/json (API)
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Bug tracker:https://github.com/colbystatsvyrsch/surveycv/issues

On CRAN:

6 exports 7 stars 1.47 score 11 dependencies 19 scripts 242 downloads

Last updated 2 years agofrom:c14d5b5192. Checks:OK: 7. Indexed: yes.

Exports:%>%cv.svycv.svydesigncv.svyglmfolds.svyfolds.svydesign

Dependencies:DBIlatticemagrittrMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival