Just wanted to thank everyone for their help, I think I mostly managed to
solve my problem.
--
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On 08-Apr-09 23:39:36, Ted Harding wrote:
On 08-Apr-09 22:10:26, Ravi Varadhan wrote:
EM algorithm is a better approach for maximum likelihood estimation
of finite-mixture models than direct maximization of the mixture
log-likelihood. Due to its ascent properties, it is guaranteed to
Hello everyone,
I'm trying to use mle from package stats4 to fit a bi/multi-modal
distribution to some data, but I have some problems with it.
Here's what I'm doing (for a bimodal distribution):
# Build some fake binormally distributed data, the procedure fails also with
real data, so the
_nico_ wrote:
Hello everyone,
I'm trying to use mle from package stats4 to fit a bi/multi-modal
distribution to some data, but I have some problems with it.
Here's what I'm doing (for a bimodal distribution):
# Build some fake binormally distributed data, the procedure fails also
, of course.
-- Bert
Bert Gunter
Genentech Nonclinical Biostatistics
650-467-7374
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Ben Bolker
Sent: Wednesday, April 08, 2009 12:47 PM
To: r-help@r-project.org
Subject: Re: [R] MLE
Ben Bolker wrote:
Here's some tweaked code that works.
[cut]
Thanks, that saved me a few headaches. I also find out the answer to my
(dumb) question #5, which is obviously to call f with the returned
parameters or use the logLik function.
I will have a look at the mixture model
_nico_ wrote:
Hello everyone,
I'm trying to use mle from package stats4 to fit a bi/multi-modal
distribution to some data, but I have some problems with it.
Here's what I'm doing (for a bimodal distribution):
# Build some fake binormally distributed data, the procedure fails also with
real
of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvarad...@jhmi.edu
- Original Message -
From: Bert Gunter gunter.ber...@gene.com
Date: Wednesday, April 8, 2009 4:14 pm
Subject: Re: [R] MLE for bimodal distribution
To: 'Ben Bolker
On 08-Apr-09 22:10:26, Ravi Varadhan wrote:
EM algorithm is a better approach for maximum likelihood estimation
of finite-mixture models than direct maximization of the mixture
log-likelihood. Due to its ascent properties, it is guaranteed to
converge to a local maximum. By theoretical
: rvarad...@jhmi.edu
- Original Message -
From: ted.hard...@manchester.ac.uk (Ted Harding)
Date: Wednesday, April 8, 2009 7:43 pm
Subject: Re: [R] MLE for bimodal distribution
To: r-h...@stat.math.ethz.ch
On 08-Apr-09 22:10:26, Ravi Varadhan wrote:
EM algorithm is a better approach
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