Title: Define Segments in y-Axis for 'ggplot2'
person("Jiacheng", "Lou", email = "loujiacheng1986@foxmail.com", role = c("aut", "cre")),
Description: It is not very easy to define segments for y-axis in a 'ggplot2' plot. gg.gap() function in this package can carry it out.

Title: Mini Bubble Plots for Comparison of Discrete Data with 'ggplot2'
Suggests: BiocStyle, knitr, rmarkdown, tibble
Description: When comparing discrete data mini bubble plots allow displaying
more information than traditional bubble plots via colour, shape or labels.
Exact overlapping coordinates will be transformed so they surround the
original point circularly without overlapping. This is implemented as a
Author: Thomas Schwarzl [aut, cre] (<https://orcid.org/0000-0001-7697-7000>)

Authors@R: person("David", "Selby", email = "d.selby@warwick.ac.uk", role = c("aut", "cre"))
Description: Provides a Chernoff face geom for 'ggplot2'. Maps multivariate data
Imports: ggplot2 (>= 2.2.0), grid, scales

Authors@R: person("David", "Selby", email = "selby@cs.uni-kl.de", role = c("aut", "cre"))

Title: Compare Timing of Network Visualizations
person("Sam", "Tyner", email = "sctyner@iastate.edu", role = c("aut", "cre")),
person("Heike", "Hofmann", email ="heike.hofmann@gmail.com", role= "aut")
Description: 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.
Imports: dplyr, igraph (>= 1.0.1), sna (>= 2.4), network, ggmap, tidyr,
Packaged: 2016-12-30 14:22:43 UTC; samanthatyner

Title: Calculate and Plot Decision Curve
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>.
Imports: do, set, rms (>= 6.0.1), base.rms, survival (>= 3.1-12)