Hello,
Excellent, also the book:
Pawitan, Yudi (2001). In all Likelihood: Statistical Modelling and Inference using
Likelihood, Clarendon Press, Oxford.
Is very good and the associated Web Site is full of MLE using R.
Hope this also helps.
/oal
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[
Hello,
Use
> x=rnorm(100, mean=3, sd=1)
> library(MASS)
>fitdistr(x, "normal")
mean sd
2.9331 0.99673982
(0.09967398) (0.07048015)
Hope this helps,
Shrieb
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Hello,
Do you have S Programming by Venables and Ripley, Springer, 2000?
There is an excellent discussion and examples there on compiling multifile codes.
I think your problem is in the order of the compilation of the multiple files.
Best,
/oal
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[E
Ladies and Gentlemen,
In MATLAB, I can write:
for J=1:M
Y(J+1)=Y(J)+ h * feval(f,T(J),Y(J));
...
In R, I can write above as:
for (J in 2:M)
{
y = y + h * f(t,y)
...
}
In MATLAB, I can write:
for J=1:M
k1 = feval(f,T(J),Y(J));
k2 = feval(f,T(J+1),Y(J)+ h * k1
How do I write k2 in R?
k1 =
Dear All,
After spending 3 long days attempting to interface Fortran with R--having spent 1 week
sifting through R-help and the horrific official documentation--I cannot emphasize in
words the importance of consulting 1 and-only 1 reference:
Venables, W.N., B.D. Ripley, S Programming. Springer,
Dear Jesus,
Yes there is a way and it is via Christoffer Torn\{o}e's package nlmeODE. I checked
Chapter 4 of Bates and Watts. As usual, a little work involved, but doable and quite
powerful.
Thanks,
olinares
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Dear Colleagues,
Our group is also working on implementing the use of R for pharmacokinetic
compartmental analysis. Perhaps I have missed something, but
> fit <- nls(noisy ~ lsoda(xstart, time, one.compartment.model, c(K1=0.5, k2=0.5)),
+data=C1.lsoda,
+start=list(K1=0.3,
Dear Colleague:
I am glad to hear from you. I was going to contact you and ask if you have
notes on the steps involved on how you implemented LSODA. I will gladly take the
project on. In addition to dassl, I want to implement ODESSA also. In other
words, my project is a "suite" of ode solvers f
In a message dated 5/27/2003 11:18:33 PM Eastern Standard Time, [EMAIL PROTECTED]
writes:
> Can you comment on the benefits of odepack versus lsoda?
The benefit of ODEPACK vs. LSODA is mainly that ODEPACK is a collection of solvers (A.
C. Hindmarsh (1983) "ODEPACK: a systematized collection of
In a message dated 5/27/2003 7:11:00 PM Eastern Standard Time, [EMAIL PROTECTED]
writes:
> originalContent/0,289142,sid39_gci902076,00.html
I run MATLAB v6.5 Release 13. In my view, the benefit of Matlab over R depends on your
objectives. I am now using R exclusively, except for solving differe
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