Hi!
I am using normalmixEM to fit a mixture of normal distributions.
I dont see an estimation of the standard deviation of the parameters.
Any idea?
thanks in advance
MAriela
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Have you tried taking a look at the mclust package? It's quite flexible,
and obtains these statistics.
Phil
On 5/9/2014 8:30 AM, Mariela Sued wrote:
Hi!
I am using normalmixEM to fit a mixture of normal distributions.
I dont see an estimation of the standard deviation of the parameters.
Hi Jari,
Thanks so much for your clarification and expansion of Gavin's comments.
I was confused by the application of bootstrapping to a function that is
already
using a permutation procedure, but I see now that bootstrapping the
regression
coefficients would operate independently of adonis'
The output from the normalmixEM function returns mu and sigma, mean and std
dev. of the distributions, a simple boot.se() of these output estimates
will generate the standard error of the mean and stand. dev.
Best,
Jason
Jason G. Romine,
Rafter,
The permutation test goes nowhere near the coefficients. IIRC it works on
the sum of squares decomposition directly.
Jari has already passed on more info about the bootstrapping idea.
Basically the boot package has functions that will apply your function to
bootstrap samples of the