Thank you. This topic is more complicated than anticipated. Best regards, Luigi
On Tue, Apr 15, 2025 at 11:09 PM Andrew Robinson wrote:
>
> A statistical (off-topic!) point to consider: when the GLM was fitted, you
> conditioned on x and let y be the random variable. Therefore the model
> suppo
The Wikipedia entry for the "subset sum problem," which I noted in my prior
comment in this thread, describes several (exponential time, of course)
algorithms for solving it. I think these should be useful to those pursuing
code for the problem discussed here.
-- Bert
"An educated person is one w
A statistical (off-topic!) point to consider: when the GLM was fitted, you
conditioned on x and let y be the random variable. Therefore the model supports
predictions of y conditional on x. You’re now seeking to make predictions of x
conditional on y. That’s not the same thing, even in OLS.
It
It is not clear if the problem is a generic example or if the requester is only
interested in the case where sample size is ten and the sum of the sample is
20. If the true population size is 100 (as in the example) then problem is
trivial. However, there was described a "denied population, wher
For interested people I got an answer on this link, thank you.
https://stackoverflow.com/questions/79573847/ggplot-trouble-when-i-combine-a-layer-with-group-and-a-layer-with-group-1?noredirect=1#comment140334381_79573847
Le 12/04/2025 à 17:24, Laurent Rhelp a écrit :
Dear RHelp-list,
I wan
Take a look at this Luigi...
># The model is: logit(p) = β₀ + β₁*Cycles
># Where p is the probability (or normalized value in your case)
>
># The inverse function would be: Cycles = (logit⁻¹(p) - β₀)/β₁
># Where logit⁻¹ is the inverse logit function (also called the expit >function)
>
># Extract
If you mean the *link function*, which translates from the data scale
to the linear predictor scale, you can get it via
b_model$family$linkfun
If you want the cycles at which the signal is equal to 0.5,
eta <- b_model$family$linkfun(0.5)
with(as.list(coef(b_model)), (eta-`(Intercept)`)/Cycle
I have fitted a glm model to some data; how can I find the inverse
function of this model? Since I don't know the y=f(x) implemented by
glm (this works under the hood), I can't define a f⁻¹(y).
Is there an R function that can find the inverse of a glm model?
Thank you.
The working example is:
```
Às 14:04 de 14/04/2025, Rui Barradas escreveu:
Às 12:26 de 14/04/2025, Brian Smith escreveu:
Hi,
For my analytical work, I need to draw a sample of certain sample size
from a denied population, where population members are marked by
non-negative integers, such that sum of sample members if fixe
Tim, do you know what you are talking about? If so, please do share sample code
so we can follow along. If you pick nine uniformly distributed variables (the
tenth is constrained) and reject sets that do not add to the desired sum then
only (1/10)^9 or so of the draws will not be rejected. This
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