1
$\begingroup$

When using branch-site model in Godon, model optimization results include the following parameters: p01sum and p0prop. What are those and how do they relate to p0 and p1 in the branch-site model?

$\endgroup$

1 Answer 1

1
$\begingroup$

Disclaimer: I'm the author of godon. The question above comes from the real communication with a software user.

In the godon implementation of the branch-site model I performed the following reparametrization:

$p_{01sum} = p_0 + p_1$

$p_{0prop} = \frac{p_0}{p_0 + p_1}$.

This has the following advantages:

  • Both parameters have a well defined range $(0, 1)$.
  • There is less dependency between the two. E.g., $p_2=1-p_0-p_1$ (proportion of sites under positivie selection) does not depend on $p_{0prop}$.
  • Both properties are very helpful for both likelihood maximization and MCMC.

In case you are interested in $p_0$ and $p_1$ there is a straightforward way to go back to the original parameters:

$p_0=p_{0prop}*p_{01sum}$

$p_1=p_{01sum}-p_0$.

P.S. I also added this information to the tutorial.

$\endgroup$
1
  • 1
    $\begingroup$ Damn, I totally missed this package. Godon is seriously nice, great work! $\endgroup$
    – NatWH
    Commented Jun 3, 2020 at 13:23

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.