person("Brandon", "Taylor", email = "brandon.taylor221@gmail.com",
role = c("aut", "cre"))
Builds format strings for both times and numbers.

Builds format strings that can be used with strptime() and sprintf().

Interactive Scatter Plot and Volcano Plot Labels
c(person(given = "Myles",family = "Lewis",
role = c("aut", "cre"),
email = "myles.lewis@qmul.ac.uk",
comment = c(ORCID = "0000-0001-9365-5345")),
person(given = "Katriona",family = "Goldmann",
role = c("aut"),
email = "k.goldmann@qmul.ac.uk",
comment = c(ORCID = "0000-0002-9073-6323")),
person(given = "Cankut",family = "Cubuk",
role = c("ctb"),
email = "c.cubuk@qmul.ac.uk",
comment = c(ORCID = "0000-0003-4646-0849")))
Interactive labelling of scatter plots and volcano plots using a
'shiny' and 'plotly' interface. Users can hover over points to see where
specific points are located and click points on/off to easily label them.
Labels can be dragged around the plot to place them optimally. Plots can be
exported directly to pdf for publication.
AnnotationDbi, knitr, org.Hs.eg.db, qvalue, rmarkdown

Interactive labelling of scatter plots, volcano plots and
Manhattan plots using a 'shiny' and 'plotly' interface. Users can hover
over points to see where specific points are located and click points
on/off to easily label them. Labels can be dragged around the plot to place
them optimally. Plots can be exported directly to PDF for publication.
plotly (>= 4.10.0), shiny, shinycssloaders, shinybusy,
RColorBrewer, DT, gtools, splus2R

Easily Build and Evaluate Machine Learning Models
Easily build and evaluate machine learning models on a dataset. Machine
learning models supported include penalized linear models, penalized linear models
with interactions, random forest, support vector machines, neural networks,
and deep neural networks.
c(
person("Woo-Young", "Ahn", , "ahn.280@osu.edu", c("aut", "cre")),
person("Paul", "Hendricks", , "paul.hendricks.2013@owu.edu", "aut"),
person("OSU-CCSL", role = "cph"))
caret, corrplot, darch, dummies, e1071, futile.logger,
ggplot2, glinternet, glmnet, parallel, pbapply, pbmcapply,
pROC, nnet, randomForest, scales, scorer
Woo-Young Ahn [aut, cre],
Paul Hendricks [aut],
OSU-CCSL [cph]