Title: Non-Central Squared Copula Models Estimation
Maintainer: Bouchra R. Nasri <bouchra.nasri@gmail.com>
Description: Inference and dependence measure for the non-central squared Gaussian, Student, Clayton, Gumbel, and Frank copula models.The description of the methodology is taken from Section 3 of Nasri, Remillard and Bouezmarni (2019) <doi:10.1016/j.jmva.2019.03.007>.
Packaged: 2019-11-22 19:37:52 UTC; Utilisateur

Description: Provides functionality for performing Nearest Centroid (NC) Sampling. The NC sampling procedure was developed for forestry applications and selects plots for ground measurement so as to maximize the efficiency of imputation estimates. It uses multiple auxiliary variables and multivariate clustering to search for an optimal sample. Further details are given in Melville G. & Stone C. (2016) <doi:10.1080/00049158.2016.1218265>.

Title: Miscellaneous general purpose functions
Depends: R (>= 2.10), grDevices, graphics, stats, utils
Description: A set of handy functions. Includes: versatile one line progress bar, one
line function timer with detailed output, time delay function, text histogram, CRAN
package search, simpler package installer, Linux command install check, a flexible

line function timer with detailed output, time delay function, text histogram, object
preview, CRAN package search, simpler package installer, Linux command install check,
a flexible Mode function, top function, simulation of correlated data, and more

Title: Miscellaneous Functions for Creating Adaptive Functions and
Description: A set of handy functions. Includes a versatile one line progress bar, one
a flexible Mode function, top function, simulation of correlated data, and more.

Depends: R (>= 3.3), grDevices, graphics, stats, utils

Depends: R (>= 3.10), grDevices, graphics, stats, utils

Title: Clustering of Omics Data of Multiple Types with a Multilayer
Author: Sebastian J. Teran Hidalgo, Shuangge Ma, Ruofan Bie
Maintainer: Sebastian J. Teran Hidalgo <sebastianteranhidalgo@gmail.com>
Description: Omics data come in different forms: gene expression, methylation, copy number, protein measurements and more.
'NCutYX' allows clustering of variables, of samples, and both variables and samples (biclustering),
while incorporating the dependencies across multiple types of Omics data.
Packaged: 2018-02-09 16:43:40 UTC; sebastianteranhidalgo