Model code for the EpiGen model used in Walworth et al. 2020 and example output

<p>The EpiGen model is an individual-based&nbsp;model of adaptation modified from Fisher’s model in&nbsp;which a simulated population moves between a&nbsp;“new”&nbsp;and&nbsp;“ancestral”&nbsp;environment following a step&nbsp;function with varying&nbsp;frequencies. This model calculates the rate of adaptation of the population where adaption proceeds through both fast variation, low transmission and slow variation, high transmission (HT) modifications.</p>

<p>The model output is for the adaptation of a population of 1000 individuals to a fluctuating environment (50 generations selective pressure, 50 generations non-selective) over 15000 generations. Every row is a generation (time). Columns are different statistics characterizing the population of 1000 individuals.</p>

<ul>
<li>Column 1 is generation #,</li>
<li>Column 2 is mean fitness at that time step,</li>
<li>Column 3 is mean # of HT modifications&nbsp; at that time step,</li>
<li>Column 4 is mean number of LT modifications,</li>
<li>Column 5 is cumulative distance traveled towards optimum by HT modifications,</li>
<li>Column 6 is cum. distance traveled towards optimum by LT modifications,</li>
<li>Column 7 is standard dev of number of HT modifications,</li>
<li>Column 8 is standard dev of number of LT modifications,</li>
<li>Column 9 is mean distance traveled toward optimum by HT modifications,</li>
<li>Column 10 is sd of distance traveled toward optimum by HT modifications,</li>
<li>Column 11 is mean distance travelled toward optimum by LT modifications, and</li>
<li>Column 12 is sd of distance travelled toward optimum by LT modifications.</li>
</ul>

<div class=\"codeLine-a3169fbc\">The model code is available in a .zip file: (see section data files). These files are also available in the following GitHub repository: https://github.com/BCODMO/EpiGen</div>