DESCRIPTION

Package: MLSurvey
Title: Machine Learning for Complex Survey Data
Version: 0.0.1.0
Authors@R: 
    person("Hyeonju", "Kim", , "hyeonjukm01@gmail.com", role = c("aut", "cre"),
    comment=c(ORCID = "0000-0002-2368-4850"))
Description: A package for developing machine learning models by proper cross-validation,i.e., replicate weights methods for survey data produced by complex sampling designs. Currently offering weighted versions of Elastic Net, XGBoost, and randomForest for linear/logistic regression.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports:
        glmnet,
        graphics,
        randomForest,
        stats,
        survey,
        svyROC,
        xgboost
Suggests:
        svyVarSel
LazyData: true