done by fitting
models without the same number of species in the given clade. 
 The number of simulations to be performed is set by 'n.sim'. To test if the 
 clade influence differs from the null expectation for a clade of that size, 
 a randomization test can be performed using 'summary(x)'.</p>

<p><code>clade_phyglm</code> detects influential clades based on
difference in intercept and/or slope when removing a given clade compared
to the full model including all species. This is done for n trees in the m