EBgrowth - Determining individual variation in growth and its implication for life history and population processes using the Empirical Bayes method

I report the flow of analyses for reproducing the computations and figures related to the manuscript "Determining individual variation in growth and its implication for life history and population processes using the Empirical Bayes method" currently under review at PLoS Computational Biology. Please start by reading the README.txt file. All files necessary to reproduce the analyses are then in the EBgrowth.zip file. m_grow3_rho.tpl = tpl file for admb program with correlation between k and linf Models have been fitted using the free software ADMB ver 11 (http://admb-project.org/) in combination with R (http://cran.r-project.org/) Please drop me a line at [e-mail] for feedback and comments.

本文详述了用于复现《利用经验贝叶斯方法（Empirical Bayes method）确定个体生长变异及其对生活史与种群过程的启示》手稿相关计算与图表的分析流程，该手稿目前正在《PLoS计算生物学》（PLoS Computational Biology）接受审稿。请首先阅读README.txt文件。复现该分析所需的全部文件均包含于EBgrowth.zip压缩包中。m_grow3_rho.tpl：用于ADMB程序的tpl模板文件，适配k与linf间存在相关性的模型。本研究通过免费软件ADMB 11版本（http://admb-project.org/）结合R语言（http://cran.r-project.org/）完成所有模型的拟合。如有反馈与建议，欢迎致邮[e-mail]与我联系。