DESCRIPTION

Package: surveyCV
Type: Package
Title: Cross Validation Based on Survey Design
Version: 0.2.0.9003
Date: 2022-05-26
Authors@R: c(
    person("Cole", "Guerin", email = "cole@guerincreative.com", role = "aut"),
    person("Thomas", "McMahon", email = "thomasmcmahon9@gmail.com", role = "aut"),
    person("Jerzy", "Wieczorek", email = "jawieczo@colby.edu", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-2859-6534")),
    person("Ben", "Schneider", email = "benjamin.julius.schneider@gmail.com", role = "ctb"),
    person("Hunter", "Ratliff", role = "ctb"))
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.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 4.0)
Imports:
    survey (>= 4.1),
    magrittr (>= 2.0),
    utils
Suggests:
    dplyr (>= 1.0),
    ggplot2 (>= 3.3),
    grid (>= 4.0),
    gridExtra (>= 2.3),
    ISLR (>= 1.2),
    knitr (>= 1.29),
    rmarkdown (>= 2.2),
    rpms (>= 0.5),
    splines (>= 4.0),
    testthat (>= 3.1)
VignetteBuilder: knitr
URL: https://github.com/ColbyStatSvyRsch/surveyCV/
BugReports: https://github.com/ColbyStatSvyRsch/surveyCV/issues
RoxygenNote: 7.1.2