Dear Achim,
Thank you for your help, this is exactly what I needed. Your help and
didactic example is very much appreciated.
Best wishes,
Michael
On Wed, Mar 22, 2017 at 11:34 AM, Achim Zeileis
wrote:
> On Wed, 22 Mar 2017, Michael Dayan wrote:
>
> The method of setting the initial values giv
Tree dbh haut Btot
1 35.00 18.90 0.357
2 25.00 16.60 0.214
3 23.00 19.50 0.173
4 13.50 15.60 0.060
5 20.00 18.80 0.134
6 23.00 17.40 0.137
7 29.00 19.90 0.428
8 17.60 18.20 0.100
9 31.00 25.30 0.514
10 26.00 23.50 0.273
11 13.00 13.00 0.031
12 32.00 20.70 0.356
13 28.00 28.50 0.349
14 15.00 18.20 0
On Wed, 22 Mar 2017, Michael Dayan wrote:
The method of setting the initial values given lambda, alpha1, etc. should
not depend on the exact values of lambda, alpha1, etc. in my situation,
i.e. it does not depend on my data.
Presently, flexmix() that betamix() is built on cannot take the param
The method of setting the initial values given lambda, alpha1, etc. should
not depend on the exact values of lambda, alpha1, etc. in my situation,
i.e. it does not depend on my data.
On Mar 22, 2017 04:30, "David Winsemius" wrote:
> On Mar 21, 2017, at 5:04 AM, Michael Dayan
wrote:
>
> Hi,
>
>
> On Mar 21, 2017, at 5:04 AM, Michael Dayan wrote:
>
> Hi,
>
> I would like to fit a mixture of two beta distributions with parameters
> (alpha1, beta1) for the first component, (alpha2, beta2) for the second
> component, and lambda for the mixing parameter. I also would like to set a
> maximu
Hi,
I would like to fit a mixture of two beta distributions with parameters
(alpha1, beta1) for the first component, (alpha2, beta2) for the second
component, and lambda for the mixing parameter. I also would like to set a
maximum of 200 iterations and a tolerance of 1e-08.
My question is: how to
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