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Package: generalizeR
Title: Design a Sample Recruitment Plan and Assess Its 'Generalizability' to
Broader Populations
Version: 0.0.1
Authors@R: c(
person("Nicole", "Nixon", , "nicolenixon2023@u.northwestern.edu", role = c("aut", "cre")),
person("Tim", "Ruel", , "timothyruel2024@u.northwestern.edu", role = c("aut"),
comment = c(ORCID = "0000-0002-1916-5003")),
person("Benjamin", "Ackerman", role = "aut"),
person("Katie", "Coburn", , "admin@thegeneralizer.org", role = "aut"),
person("Beatrice", "Chao", role = "aut"),
person("Beth", "Tipton", , "tipton@northwestern.edu", role = "aut")
)
Description: The goal of this package is to guide K-12 researchers through the process of
(1) designing a sample recruitment plan with generalization in mind and (2) reporting
where the results of a study may (or may not) generalize well. To learn more, visit
<https://thegeneralizer.org/>.
License: GPL-3
URL: https://nustat.github.io/generalizeR/, https://github.com/NUstat/generalizeR
BugReports: https://github.com/NUstat/generalizeR/issues
Depends:
ggplot2,
R (>= 2.10)
Imports:
assertthat,
broom,
cluster (>= 2.1.0),
ClusterR (>= 1.2.2),
colorDF,
crayon (>= 1.3.4),
dplyr (>= 1.0.0),
easycsv (>= 1.0.8),
fastDummies (>= 1.6.1),
forcats (>= 1.0.0),
ggnewscale,
ggrepel,
ggthemes (>= 4.2.0),
glmnet (>= 4.0.2),
grid (>= 4.0.2),
gtools,
janitor (>= 2.0.1),
kableExtra,
lazyeval,
magrittr (>= 1.5.0),
purrr (>= 0.3.4),
randomForest (>= 4.6.14),
readr (>= 1.3.1),
rlang (>= 1.1.1),
stringr (>= 1.4.0),
tibble (>= 3.0.3),
tidyr (>= 1.1.0),
tidyselect (>= 1.1.0),
viridis,
Suggests:
BayesTree,
devtools (>= 2.3.0),
gridExtra,
knitr,
patchwork (>= 1.1.1),
rmarkdown,
skimr (>= 2.1.2),
tidyverse,
tmle,
usmap,
viridisLite
VignetteBuilder:
knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3