On Thu, 10 Nov 2016, danilo.car...@uniparthenope.it wrote:
Thank you for your hints, now the goodness of fit test provides me good
results, but surprisingly for me the three-component model turns out to be
worse than the two-component one (indeed, I focused on the three-component
mixture becau
Thank you for your hints, now the goodness of fit test provides me
good results, but surprisingly for me the three-component model turns
out to be worse than the two-component one (indeed, I focused on the
three-component mixture because the two-component one exhibits a low
p-value).
In a
On Tue, 8 Nov 2016, danilo.car...@uniparthenope.it wrote:
I tried the function flexmix() with the driver FLXMRnegbin() with two
components first, in order to compare its results with those provided by my
function mixnbinom(). In particular, I ran the following code:
fm0 <- flexmix(y ~ 1, da
I tried the function flexmix() with the driver FLXMRnegbin() with two
components first, in order to compare its results with those provided
by my function mixnbinom(). In particular, I ran the following code:
fm0 <- flexmix(y ~ 1, data = data.frame(y), k = 2, model = FLXMRnegbin())
where
On Mon, 7 Nov 2016, danilo.car...@uniparthenope.it wrote:
I need a function for R software which computes a mixture of Negative
Binomial distributions with at least three components.
The package "countreg" on R-Forge provides a driver FLXMRnegbin() that can
be combined with the "flexmix" pack
Opinion only (and therefore ignorable):
Unless you have a lot (?) of data, fitting such a model successfully
is likely to be very challenging. I suggest that you consult a local
statistical expert to see if you might take a different approach.
On Mon, Nov 7, 2016 at 4:42 AM, wrote:
> I need a
I need a function for R software which computes a mixture of Negative
Binomial distributions with at least three components.
I found on another site the following function "mixnbinom". It works very
well, but it computes a mixture of only two components:
mixnbinom=function(y,k1,mu1,k2,mu2,prob
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