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