A Collection of Functions to Experiment Dice Rolls
A collection of functions to simulate
dice rolls and the like. In particular, experiments and exercises can
be performed looking at combinations and permutations of values in dice
rolls and coin flips, together with the corresponding frequencies of
occurrences. When applying each function, the user has to input the
number of times (rolls, flips) to toss the dice. Needless to say, the more
the tosses, the more the frequencies approximate the actual probabilities.
Moreover, the package provides functions to generate non-transitive sets
of dice (like Efron's) and to check whether a given set of dice is non-transitive
with given probability.

Dimension Reduction and Estimation Methods
c(person("Kisung", "You", role = c("aut", "cre"),
email = "kyou@nd.edu"),
person("Donggun", "Kim", role = "aut",
email = "dgkim5360@gmail.com"),
person("Yoon Mo", "Jung", role = "rev",
email = "yoonmojung@skku.edu"))
We provide a rich collection of linear and nonlinear
dimension reduction techniques implemented using 'RcppArmadillo'.
The question on what we should use as the target dimension is
addressed by intrinsic dimension estimation methods introduced as well.
For more details on dimensionality techniques, see the paper by
Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in
statistical approach, or Engel, Huttenberger, and Hamann (2012)
<doi:10.4230/OASIcs.VLUDS.2011.135> for a broader cross-disciplinary overview.
Rcpp (>= 0.12.12), graphics, stats, Rtsne, Rcsdp
Kisung You [aut, cre],
Donggun Kim [aut],
Yoon Mo Jung [rev]

c(person("Kisung", "You", role = c("aut", "cre"),
email = "kyou@nd.edu"),
person("Donggun", "Kim", role = "ctb",
email = "dgkim5360@gmail.com"),
person("Yoon Mo", "Jung", role = "ctb",
email = "yoonmojung@skku.edu"))
Rcpp (>= 0.12.12), graphics, stats, Rtsne, Rcsdp, Rdpack,
Rlinsolve
Kisung You [aut, cre],
Donggun Kim [ctb],
Yoon Mo Jung [ctb]

Rcpp (>= 0.12.12), graphics, stats, Rtsne, Rcsdp, Rdpack,
Rlinsolve, RSpectra