That is an intrinsic part of nonlinear optimization. Choose your starting point
wisely.
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#.
On Oct 20, 2012, at 8:01 PM, stats12 wrote:
Hi,
Thank you for your comment. I worked on the code again and was able to make
it work.
Does that mean you know what value is correct for certain cases? Is there an
overall strategy that is guiding this effort? I wrote earlier:
DW Your
On 21-10-2012, at 05:01, stats12 wrote:
Hi,
Thank you for your comment. I worked on the code again and was able to make
it work. The only problem I am having right now is that nlm depends on the
initial value.
When the initial value is 1, I get the following estimates
0.1230414
You are right. I ran the code again and got the same error again. But ran it
for the second time, it didn't return an error and I got some values. It's
my first time doing this kind of coding and I'm still learning. I agree that
my code may look unorganized and wrong. I'll work on your comments
Dear R users,
When I run the code below, I get the error Error in integrate(integrand, 0,
Inf) : non-finite function value. The code works if the function returns
only sum(integ). However, I want to add cmh to it. When I add cmh I
get that error. I can't figure out why this is happening because
On Oct 20, 2012, at 9:23 AM, stats12 wrote:
Dear R users,
When I run the code below, I get the error Error in integrate(integrand, 0,
Inf) : non-finite function value. The code works if the function returns
only sum(integ).
But you never showed us the working code.
However, I want to
Hi,
Thank you for your comment. I worked on the code again and was able to make
it work. The only problem I am having right now is that nlm depends on the
initial value.
When the initial value is 1, I get the following estimates
0.1230414 19.6271029
when it is 2, I get the following
29.46874
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