[R] mle() and with()
Peter Dalgaard
p.dalgaard at biostat.ku.dk
Mon Jan 10 22:41:39 CET 2005
Ben Bolker <bolker at zoo.ufl.edu> writes:
> I'm trying to figure out the best way of fitting the same negative
> log-likelihood function to more than one set of data, using mle() from
> the stats4 package.
It's not the same likelihood function if the data differ, since
likelihood functions are functions of the parameters only. The design
of mle() & friends is so as to reinforce that idea.
> Here's what I would have thought would work:
>
> --------------
> library(stats4)
>
> ## simulate values
> r = rnorm(1000,mean=2)
>
> ## very basic neg. log likelihood function
> mll <- function(mu,logsigma) {
> -sum(dnorm(r,mean=mu,sd=exp(logsigma),log=TRUE))
> }
>
>
> mle(minuslogl=mll,start=list(mu=1,logsigma=0))
>
> r2 = rnorm(1000,mean=3) ## second "data set"
> with(list(r=r2),
> mle(minuslogl=mll,start=list(mu=1,logsigma=0))
> )
> -------------
>
> but this doesn't work -- it fits to the original data set, not the new
> one --- presumably because mll() picks up its definition of r when it
> is *defined* -- so using with() at this point doesn't help.
>
> If I rm(r) then I get an 'Object "r" not found' error.
>
>
> I can do something like the following, defining the negative
> log-likelihood function within the mle() call ...
>
> lf = function(data) {
> mle(minuslogl=function(mu,logsigma) {
> -sum(dnorm(data,mean=mu,sd=exp(logsigma),log=TRUE))
> },start=list(mu=1,logsigma=0))
> }
>
> lf(r)
> lf(r2)
>
> -------
>
> ... and in this case there's no point using with().
> can someone help me understand this behavior and to find a clean way
> to use mle() on a predefined likelihood function that allows
> substitution of an arbitrary data set?
I'd do
mll <- function(data) function(mu,logsigma)
-sum(dnorm(data,mean=mu,sd=exp(logsigma),log=TRUE))
fit <- mle(minuslogl = mll(r), start = list(mu=1, logsigma=0))
fit2 <- mle(minuslogl = mll(r2), start = list(mu=1, logsigma=0))
--
O__ ---- Peter Dalgaard Blegdamsvej 3
c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907
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