Description: To identify the globally most discriminative subnetwork from gene
expression profiles using an optimization model and genetic algorithm

Title: Copula-Based Semiparametric Models for Spatio-Temporal Data
Description: Parameter estimation, one-step ahead forecast and new location
prediction methods for spatio-temporal data.
Packaged: 2019-01-02 23:52:41 UTC; tangyanlin

Title: Functions, data and code for count data.
Maintainer: Joseph M Hilbe <hilbe@asu.edu>, Andrew Robinson
Description: Functions, data and code for Hilbe, J.M. 2009. Negative
Binomial Regression, 2nd Edition (Cambridge University Press)

Maintainer: Andrew Robinson <apro@unimelb.edu.au>, Joseph M Hilbe

Description: Functions, data and code for Hilbe, J.M. 2011. Negative Binomial Regression, 2-nd Edition (Cambridge University Press) and Hilbe, J.M. 2014. Modeling Count Data (Cambridge University Press).

Title: Functions, Data and Code for Count Data
Description: Functions, data and code for Hilbe, J.M. 2011. Negative Binomial Regression, 2nd Edition (Cambridge University Press) and Hilbe, J.M. 2014. Modeling Count Data (Cambridge University Press).

Title: A Residue-Residue Contact Detecting Method
Author: Reda Rawi [aut,cre], Matyas A. Sustik [aut], Ben Calderhead [aut]
Description: Contact prediction using shrinked covariance (COUSCOus). COUSCOus is a residue-residue contact detecting method approaching the contact inference using the glassofast implementation of Matyas and Sustik (2012, The University of Texas at Austin UTCS Technical Report 2012:1-3. TR-12-29.) that solves the L_1 regularised Gaussian maximum likelihood estimation of the inverse of a covariance matrix. Prior to the inverse covariance matrix estimation we utilise a covariance matrix shrinkage approach, the empirical Bayes covariance estimator, which has been shown by Haff (1980) <DOI:10.1214/aos/1176345010> to be the best estimator in a Bayesian framework, especially dominating estimators of the form aS, such as the smoothed covariance estimator applied in a related contact inference technique PSICOV.