Hi,
I have a question regarding the cv.glm function in the package boot. What is
exactly the cost? Is it the threshold value for an estimated value to be
classified as either 0 or 1? I have troubles understanding the explanation
in R. Lets say I want all estimations >0.65 to be classified as 1s an
Hi all,
I am trying to make a script that prints all possible models from a model
I've created using nls(). It is a logisitc model which in total includes 13
variables. So its >8000 models I need to create, which I don't want to do
manually. I've tried modify scripts made for linear models with no
Hi,
I've written a logistic function using nls and I'd like to do cross
validation for this. Is there a package for that? Below is an example of my
data and the function. N terms are presence/absence data and the response is
succesful/failed data.
y1<-sample(0:1,100,replace=T)
N1<-sample(0:1,100
Hi,
I have problems writing a script for a logistic model. My data looks
something like this:
PI A N1 N2 N3
0 9 0 1 0
1 4 1 0 1
0 8 0 0 0
1 6 0 1 0
And so on…
The model I
Hi everyone,
I'm wondering how to select the "best" model when using logistf? AIC does
not work neither does anova. I tried fitting a glm model but got the
separation warning message so I tried using the logistf package but as I
stepwise simplify the model I don't know if the simplification is mot
Hi,
I am trying to add a function in a linear quantile regresion to find a
breakpoint. The function I want to add is:
y=(k+ax)(xB)
How do I write it in the rq() function? Do I need to define the parameters
in any way and how do I do that? I'm a biologist new to R.
Thanks!
6 matches
Mail list logo