person("David", "Selby", email = "d.selby@warwick.ac.uk", role = c("aut", "cre"))
Provides a Chernoff face geom for 'ggplot2'. Maps multivariate data
to human-like faces.

person("David", "Selby", email = "selby@cs.uni-kl.de", role = c("aut", "cre"))
Provides a Chernoff face geom for 'ggplot2'. Maps multivariate data
to human-like faces. Inspired by Chernoff (1973) <doi:10.1080/01621459.1973.10482434>.

Compare Timing of Network Visualizations
c(
person("Sam", "Tyner", email = "sctyner@iastate.edu", role = c("aut", "cre")),
person("Heike", "Hofmann", email ="heike.hofmann@gmail.com", role= "aut")
)
We provide two primary resources in 'ggCompNet'. The first is a function to compare the speed of network drawing using several different packages. The second is the vignette folder which contains two vignettes that provide code for reproducing examples comparing the three network visualization packages 'geomnet', 'ggnetwork', and the ggnet2() function from the 'GGally' package.
dplyr, igraph (>= 1.0.1), sna (>= 2.4), network, ggmap, tidyr,
tnet, scales, gridExtra, readr
Sam Tyner [aut, cre],
Heike Hofmann [aut]

Diagnostic and prognostic models are typically evaluated with
measures of accuracy that do not address clinical consequences.
Decision-analytic techniques allow assessment of clinical outcomes but
often require collection of additional information and may be cumbersome to
apply to models that yield a continuous result.
Decision curve analysis is a suitable method for evaluating
alternative diagnostic and prognostic strategies that has advantages over
other commonly used measures and techniques.
This method was described by Andrew J. Vickers (2006) <doi:10.1177/0272989X06295361>.

Modern Graphs for Design of Experiments with 'ggplot2'
c(person(given = "Jose",family = "Toledo Luna",
role = c("aut", "cre"),
email = "toledo60@protonmail.com",
comment = c(ORCID = "0000-0001-8559-0027")))
Generate commonly used plots in the field of design of experiments using 'ggplot2'.
'ggDoE' currently supports the following plots: alias matrix, box cox transformation, boxplots, lambda plot,
regression diagnostic plots,half normal plots, main and interaction effect plots for factorial designs,
contour plots for response surface methodology, pareto plot, and two dimensional projections of a latin hypercube design.
knitr, rmarkdown, roxygen2, tibble, MASS, viridisLite,
ggrepel, gridExtra, unrepx, metR, rsm, lhs
Jose Toledo Luna [aut, cre] (<https://orcid.org/0000-0001-8559-0027>)