I want to change my parameter g to maximize the sum of my model. I keep
getting an unused argument error and I don't know why. Here are the details of
my problem.
g<-0.2 #initial value for g
Qt<-exp(-g*tagdat$t) #model building
PTT<-Qt*Qt #model building
PT<-2*Qt*(1-Qt) #model building
P0<-(1-Qt)^2 #model building
pTT<-PTT/(1-P0) #model building
pT<-PT/(1-P0) #model building
lamda<-c(g=g) #make a list of values for my g parameter.
-sum(tagdat$N2*log(pTT)+tagdat$N1*log(pT)) #here is the sum of my model. It
works.
f <- function(g) sum(tagdat$N2*log(pTT)+tagdat$N1*log(pT)) #now I name my
model and make it a function called g
tag.fit<-nlm(f,p=lamda, data=tagdat, hessian=T) #this is where I
am stuck. I am running the nlm procedure but it keeps telling me I have the
unused argument of data=list. ???
Any help would be greatly appreciated.
Mike
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