Given a high-dimensional dataset that typically represents a cytometry dataset, and a subset of the datapoints, this algorithm outputs an hyperrectangle so that datapoints within the hyperrectangle best correspond to the specified subset. In essence, this allows the conversion of clustering algorithms' outputs to gating strategies outputs.
Etienne Becht [cre, aut],
Samuel Granjeaud [ctb]

Package to perform (exact) hypergeometric tests on IxJ and 2x2x2 contingency tables using parallelised C code

Performs (exact) hypergeometric tests on IxJ and 2x2x2 contingency tables using parallelised C code

Performs (exact) hypergeometric tests on IxJ and 2x2x2 contingency tables using parallelised C code.

Performs (exact) hypergeometric tests on IxJ and 2x2x2 contingency tables using parallelized C code.

The hypergeometric function, hypergeo(), for complex numbers

The hypergeometric function, hypergeo(), for complex
numbers
Robin K. S. Hankin <hankin.robin@googlemail.com>

elliptic (>= 1.3-5), contfrac (>= 1.1-9), deSolve
The Gaussian hypergeometric function for complex numbers.

Overlap Detection in n-Dimensional Space
Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions. More details can be found in: Brown et al. (2020) <doi:10.1111/2041-210X.13363> .
c(person("Matilda", "Brown", email = "matilda.brown@utas.edu.au", role = c("aut", "cre"), comment= c( ORCID = "0000-0003-2536-8365")), person("Greg", "Jordan", role="aut"))
e1071, matlib, ggplot2, rgl, misc3d, methods, stats, MASS,
graphics
Matilda Brown [aut, cre] (<https://orcid.org/0000-0003-2536-8365>),
Greg Jordan [aut]

knitr, rmarkdown, plotrix, rlang, webshot2, markdown

Attribute Sampling Plan with Exact Hypergeometric Probabilities
using Chebyshev Polynomials
Implements an algorithm for efficient and exact calculation of hypergeometric
and binomial probabilities using Chebyshev polynomials, while other algorithm use an
approximation when N is large. A useful applications is also considered in this package
for the construction of attribute sampling plans which is an important field of statistical
quality control. The quantile, and the confidence limit for the attribute sampling plan are
also implemented in this package. The hypergeometric distribution can be represented in
terms of Chebyshev polynomials. This representation is particularly useful in the calculation
of exact values of hypergeometric variables.