Title: Simulation of complex survival data

Author: David Mori�a, Centre Tecnol�gic de Nutrici� i Salut and Albert Navarro, Universitat Aut�noma de Barcelona

Authors@R: c(person("Marco", "Smolla", , "drsmolla@icloud.com", role = c("aut", "cre"),comment = c(ORCID = "0000-0001-6367-8765")))
Description: Providing a set of functions to easily generate and iterate complex networks.
The functions can be used to generate realistic networks with a wide range of different clustering, density, and average path length.
For more information consult research articles by Amiyaal Ilany and Erol Akcay (2016) <doi:10.1093/icb/icw068> and Ilany and Erol Akcay (2016) <doi:10.1101/026120>, which have inspired many methods in this package.
Author: Marco Smolla [aut, cre] (<https://orcid.org/0000-0001-6367-8765>)

Packaged: 2022-11-10 10:30:41 UTC; marcosmolla

Title: Calculate the Proportion of Permutations in Line with an
Description: Allows for the easy computation of complexity: the proportion of the parameter space in line with the hypothesis by chance.

Description: Allows for the easy computation of complexity: the proportion of the parameter space in line with the hypothesis by chance. The package comes with a Shiny application in which the calculations can be conducted as well.

Maintainer: M. A. J. Zondervan-Zwijnenburg <m.zondervan@vilans.nl>

Title: Functions of Complex or Real Variable
Author: Albert Dorador and Uffe Høgsbro Thygesen
Description: Extension of several functions to the complex domain, including the matrix exponential and logarithm, and the determinant.

Title: Robust linear regression with compositional data as covariates
Description: This package provides functionality to perform robust regression
on compositional data. To get information on the distribution of the
estimates, various bootstrapping methods are implemented for the
compositional as well as for standard robust regression models, to provide
Imports: robustbase, ggplot2, boot, parallel, scales

Description: Provides functionality to perform robust regression