dear all,

a couple of month ago i have sent this message to [R-sig-phylo]:


>>> Le 02/11/2015 18:29, Antonella Soro a écrit :

>>>> dear all,
>>>> like kari allen in june 2011, i am trying to "to run Pagels GLS in R and I 
>>>> have consistently encountered
>>>> an error message (see script and error message below). 
>>>> "
>>>>> pagel.data<-corPagel(1,phy=gls.phylo1,fixed=FALSE)
>>>>> pagel.gls8<-gls(Gst~log.Body_size+Diet+Behavior+Max_Geo+He,correlation=pagel.data,data=data,na.action=na.exclude,
>>>>>  method="ML")
>>>> Error in corFactor.corStruct(object) :
>>>>  NA/NaN/Inf in foreign function call (arg 1)

>>> 


i have now found out that the code above works for my data if i change the 
(initial) value of the parameter lambda from “1” to “0”. given this positive 
result, i am very much tempted to change that value and carry on with my 
analyses, but i wonder how entitled i am in making that change. what is the 
meaning of giving “1” as initial value of the parameter lambda, rather than any 
other value between “0” and “1"? and why would the outcome of the analysis 
depend so drastically (error vs not error) on that initial value?

emmanuel paradies’s response to the same questions on the legitimacy of 
changing the initial value of the parameter lambda was:

“Hi Antonella,

I see no problem in changing the initial value of lambda as long as it gives an 
estimate. I do not know if there is a reason to expect a "regular" shape of the 
likelihood function for this kind of problem; so adjusting the initial values 
of the parameters to "help" the optimization algorithm is not a bad thing. You 
can send this question on r-sig-phylo; maybe others will have another opinion"

any comment or a different opinion from the one of emmanuel is very much 
appreciated

thank you in advance

antonella

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