Whether you have converged to a global optimum or not depends on the
nature of the likelihood surface. Have you tried different starting
values? As for the warning, I leave that to Prof. Nash, as he *is*
(way) more knowledgeable. However, I suspect the answer is yes, it is
concerning. Are you at a
Then it's trivial. Check values at the discontinuities and find the
first where it's <0 at the left discontinuity and >0 at the right, if
such exists. Then just use zero finding on that interval (or fit a
line if everything's linear). If none exists, then just find the first
discontinuity where it'
Hi
I think you are hitting the limit of what R's PostScript device can do
with CID fonts (particularly with Latin characters).
Have you tried the cairo_ps() device ?
Paul
On 7/04/2017 8:05 p.m., Jinsong Zhao wrote:
Hi there,
I try to plot with custom fonts, which have good shape Latin and
Is the function linear between the discontinuities?
Can you give an example of how the function is specified?
B.
> On Apr 9, 2017, at 8:38 PM, li li wrote:
>
> Hi Burt,
>Yes, the function is monotone increasing and points of discontinuity
> are all known.
> They are all numbers between 0
Hi Burt,
Yes, the function is monotone increasing and points of discontinuity
are all known.
They are all numbers between 0 and 1. Thanks very much!
Hanna
2017-04-09 16:55 GMT-04:00 Bert Gunter :
> Details matter!
>
> 1. Are the points of discontinuity known? This is critical.
>
> 2. Can
Details matter!
1. Are the points of discontinuity known? This is critical.
2. Can we assume monotonic increasing, as is shown?
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bl
Dear all,
For a piecewise function F similar to the attached graph, I would like to
find
inf{x| F(x) >=0}.
I tried to uniroot. It does not seem to work. Any suggestions?
Thank you very much!!
Hanna
F.pdf
Description: Adobe PDF document
___
I suspect, as you hinted, there's little to no hope that anyone will
be willing or able to navigate your code. **Usually** (whatever that
means!) these sorts of problems can be traced back to
overparameterization -- too few data, which could also mean a lot of
"correlated" data, chasing too many
I have written a book to help new users of R, who are familiar with at
least one programming other
than R, learn the basics of data analysis in a single day. The book is
free and released under the
most non-restrictive of the creative commons licenses. There is R code
that accompanies the book.
Hi, I´m having troubel using nlminb this is the warning that shows up.
Warning: Cholesky factorization 'dpotrf' exited with status: 1
Variance of the prediction error can not be computed.
Warning: Cholesky factorization 'dpotrf' exited with status: 1
Determinant of the variance of the prediction e
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