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Final optimization routines have been completely rewritten in C++ using Rcpp
and RcppArmadillo.
Switched to the cost function from EulerAPE for the default optimization
target but added the posibility to choose cost function via a cost argument
(currently eulerAPE or venneuler).
Added the option to produce conditional eulerr plots via a by argument to eulerr. The result is a list of euler diagrams that can be plotted
in a grid arrangement via a new plot method.
Improved label placement by using a two-dimensional kernel density estimation
instead of means to calculate label centers.
Bug fixes and minor improvements
Cleaned up typos and grammar errors in the Introduction to eulerr vignette.
Added mar argument to plot.eulerr with a default that produces
symmetric margins.
Corrected the implementation of the stress statistic from venneuler.
Switched to Vogel sampling to generate points to choose label positions from.
Minor clean up and performance fixes all around.
Added a print.eulerr method.
Updated vignette to cover new features and changes.