Title: Simulation of ordinal and discrete variables with given
correlation matrix and marginal distributions
Author: Alessandro Barbiero, Pier Alda Ferrari
Description: The package implements a procedure for generating samples
from ordinal/discrete random variables with pre-specified
correlation matrix and marginal distributions.
Packaged: 2012-03-31 16:59:19 UTC; Alessandro

Packaged: 2013-05-16 20:41:42 UTC; Alessandro

Packaged: 2014-03-31 18:43:03 UTC; Alessandro

Title: Simulation of Ordinal and Discrete Variables with Given
Correlation Matrix and Marginal Distributions
Description: A gaussian copula based procedure is implemented for generating samples from ordinal/discrete random variables with pre-specified correlation matrix and marginal distributions.

Title: Simulation of Discrete Random Variables with Given Correlation
Description: A gaussian copula based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.

Title: R functions for Generalized Simulated Annealing
Author: Sylvain Gubian <DL.RSupport@pmi.com>, Yang Xiang
Description: This function computes the minimum of a complex

Author: Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.
Description: This package searches for global minimum of a very complex
non-linear objective function with a very large number of

Description: This package searches for global minimum of a very complex non-linear objective function with a very large number of optima.

Title: Functions for Generalized Simulated Annealing
Description: Performs search for global minimum of a very complex non-linear objective function with a very large number of optima.

Title: R Functions for Generalized Simulated Annealing

Description: Performs search for global minimum of a very complex non-linear
objective function with a very large number of optima.

Description: Implement a coherent and flexible protocol for animal color tagging. 'GenTag' provides a simple computational routine with low CPU usage to create color sequences for animal tag. First, a single-color tag sequence is created from an algorithm selected by the user, followed by verification of the combination uniqueness. Three methods to produce color tag sequences are provided. Users can modify the main function core to allow a wide range of applications.