Title: A Modular Framework for Statistical Simulations in R
Authors@R: c(person("Avi", "Kenny", email = "avi.kenny@gmail.com", role = c("aut", "cre")),

Title: Simulation of Evolution of Enzyme Under Constraints
Authors@R: c(person("Charlotte", "Coton", role = c("aut", "cre"), email = "charlotte.coton@universite-paris-saclay.fr", comment=c(ORCID="0000-0002-5371-0327")),
person("Gregoire", "Talbot", role = c("aut")),
person("Maud", "Le Louarn", role = c("aut")),
person("Christine", "Dillmann", role = c("aut", "ths"), email = "christine.dillmann@inrae.fr", comment=c(ORCID="0000-0002-9025-341X")),
person("Dominique", "de Vienne", role = c("aut", "ths"), email = "dominique.de-vienne@inrae.fr", comment=c(ORCID="0000-0003-3395-7901")))
Author: Charlotte Coton [aut, cre] (<https://orcid.org/0000-0002-5371-0327>),
Christine Dillmann [aut, ths] (<https://orcid.org/0000-0002-9025-341X>),
Description: Simulate the evolution of enzyme concentrations under selection for increased flux in a metabolic pathway, with cellular constraints.
Create graphics for the simulation results.
Compute evolutionary equilibrium and Range of Neutral Variations of enzyme concentrations.
This package is part of "Coton, C., Talbot, G., Le Louarn, M., Dillmann, C., de Vienne, D. (2021) <bioRxiv:10.1101/2021.05.04.442631>".
Imports: stats, rgl, ade4, graphics, grDevices, RColorBrewer,
Packaged: 2021-05-31 16:49:29 UTC; Charlotte

Version 2.0.0 and more takes account of regulation groups, and is part of a second article "Coton, C., Dillmann, C., de Vienne, D. (in progress)".
Packaged: 2021-10-28 17:12:27 UTC; Charlotte

Title: A comprehensive modeling framework for epidemiological outcomes and a multiple-imputation approach to haplotypic analysis of population-based data
Maintainer: Pamela A. McCaskie <pmccask@cyllene.uwa.edu.au>
Description: SimHap is a package for genetic association testing. It can perform single SNP and multi-locus (haplotype) association analyses for continuous Normal, binary, longitudinal and right-censored outcomes measured in population-based samples. SimHap uses estimation maximisation techniques for inferring haplotypic phase in individuals, and incorporates a multiple-imputation approach to deal with the uncertainty of imputed haplotypes in association testing.
Packaged: Fri Sep  7 16:01:58 2007; pmccask