Displaying 2 results from an estimated 2 matches for "allmodelslist".
2012 Aug 23
1
All possible models with nls()
...- list()
for (i in 1:3) {
mod[[i]] <- nls(y~exp(c+(a1*x1)+(a2*x2)
)/
(1+exp(c+(a1*x1)+(a2*x2)))
,start=list(a1=-0.2,a2=-0.2,c=0.2))
print(summary(mod[[i]]))
}
#second script I've tried
regressors<-c("x1","x2")
regMat<-expand.grid(c(T,F),c(T,F))
regMat
allModelsList <- apply(regMat,1,
function(x)as.formula(nls(y~exp(c+(a1*x1)+(a2*x2)
)/
(1+exp(c+(a1*x1)+(a2*x2)))
,start=list(a1=-0.2,a2=-0.2,c=0.2))))
allModelsList
allModelsResults <- lapply(allModelsList,
function(x) nls(x,
start=list(a1=-0.2,a2=-0.2,c=0.2)))
allModelsResults...
2010 May 19
8
Generating all possible models from full model
Is there a function that will allow me to run all model iterations if I specify a full model? I am using information criteria to choose between possible candidate models. I have been writing out all possible model combinations by hand, and I am always worried that I am missing models or have made a mistake somewhere. It is also difficult to alter models if I want to change a term. For example,