The have set an epsilon > 0 to the point where the assimptota is, to
compute the hessian at the lower it is required to evaluate at the left of
the lower, and this is the point, because I want the estimate that usually
is very close to the lower. I want to set a lower bound in which neither
the est
Many thanks, Bert & Rolf. I have read the package manual and its github
code to try understanding the things.
Bests,
V.O.
On Mon, May 28, 2018 at 2:42 AM, Bert Gunter wrote:
> ... who can be found by R's ?maintainer function.
>
> A web search on "R softmaxreg package" also seemed to bring up rel
> On May 28, 2018, at 5:02 PM, Kebebe Ergano via R-help
> wrote:
>
>
> Hi everyone,
>
> I was trying to mode the following exercise using R.
>
> The question: Set up a one pool model using numericintegration. The model
> will run from time 1 to time 30 using a time step of 1.The pool (A)
Hi Faradj,
What a problem! I think I have worked it out, but only because the
result is the one you said you wanted.
# the sample data frame is named fkdf
Y2Xby3<-function(x) {
nrows<-dim(x)[1]
X<-rep(0,nrows)
for(i in 1:(nrows-2)) {
if(!is.na(x$Y[i])) {
if(x$Y[i] == 1 && any(is.na(x$Y[(i+
Hi everyone,
I was trying to mode the following exercise using R.
The question: Set up a one pool model using numericintegration. The model will
run from time 1 to time 30 using a time step of 1.The pool (A) will be fed by
flux "inA" at a rate of 5 units per hour anddrained by flux "outA" at
I was not able to decipher your meaning, and your failure to garner a
response so far may mean that others may have had similar difficultes. You
might therefore try providing providing a **small reproducible** example of
X's and Y's that show what you have and what you want to end up with to
clarif
> On May 27, 2018, at 10:31 PM, francesc badia roca wrote:
>
> I have an issue using mle in versions of 32 bits.
>
> I am writing a package which I want to submit to the CRAN.
> When doing the check, there is an example that has an error running in the
> 32 bits version.
>
> The problem comes
Hi everyone,
I am trying to generate a conditional dummy variable ”X" with the following
rules
set X=1 if Y is =1, two years prior to the NA. [0,0,NA].
For example, if the pattern for Y is 0,0,NA then the X variable is =0 for all
the two years prior to the NA. If the pattern for Y is 0,1
... who can be found by R's ?maintainer function.
A web search on "R softmaxreg package" also seemed to bring up relevant
info.
-- 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 "Bloo
On 28/05/18 18:13, Vy Ong wrote:
Hello,
Are there anyone knowing about the Softmaxreg R package?
I suspect that the maintainer of softmaxreg (please note the
*lower case* "s") "knows about" this package!
cheers,
Rolf Turner
--
Technical Editor ANZJS
Department of Statistics
University of
Hello,
Are there anyone knowing about the Softmaxreg R package? I try to
understand the mathematics behind its models, by its command softmaxreg,
especially the L2 regularized version. Is it regularized on the neural
network layers or on the softmax regression layer? Are there any
material/article
Michael,
Thank you very much for your answer. I finally tried lsmeans to compare what I
wanted. I'll follow your advice and explore the CDA. It's probably a better
solution to assess what I want.
Best,
Sérgio.
- Mensagem original -
> De: "Michael Friendly"
> Para: "Sergio Ferreira Ca
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