Simulations and Visualizations of Rubik's Cube (with Mods)
Provides simplified methods for managing classic Rubik's cubes and many other modifications of it (such as NxNxN size cubes, void cubes and 8-coloured cubes - so called octa cubes). Includes functions of handling special syntax for managing such cubes; and different approach to plotting 3D cubes without using external libraries (for example OpenGL).

Provides simplified methods for managing classic Rubik's cubes and many other modifications of it (such as NxNxN size cubes, void cubes and 8-coloured cubes - so called octa cubes). Includes functions of handling special syntax for managing such cubes; and different approach to plotting 3D cubes without using external libraries (for example 'OpenGL').

Robust Cure Models for Survival Analysis
c(
person("Xiaoxia", "Han", email = "xh414@nyu.edu", role = c("aut", "cre")),
person("Yilong", "Zhang", email= "elong0527@gmail.com", role=c("aut")),
person("Yongzhao", "Shao", email = "shaoy01@nyu.edu", role = "aut"))
Implements robust cure models for survival analysis by incorporate
a weakly informative prior in the logistic part of cure models. Estimates
prognostic accuracy, i.e. AUC, k-index and c-index, with bootstrap confidence
interval for cure models.
Xiaoxia Han [aut, cre],
Yilong Zhang [aut],
Yongzhao Shao [aut]

c(
person("Jay", "Lee", email = "jaylee@reed.edu", role = c("aut")),
person("Matthew", "Yancheff", email = "yanchefm@reed.edu", role = c("aut", "cre")),
person("Reed College", role = c("cph")))
A collection of ranked choice voting data and functions to
manipulate, run elections with, and visualize this data and others.
It can bring in raw data, transform it into a ballot you can read,
and return election results for an RCV contest.
forcats, dplyr, tibble, tidyr, readr, stringr
Jay Lee [aut],
Matthew Yancheff [aut, cre],
Reed College [cph]

Shrunken Centroids Regularized Discriminant Analysis
Yaqian Guo <yaqiang@stat.stanford.edu>
Trevor Hastie <hastie@stat.stanford.edu>
Robert Tibshirani <tibs@stat.stanford.edu>
Shrunken Centroids Regularized Discriminant Analysis
for the classification purpose in high dimensional data.