search for: bootstepaic

Displaying 9 results from an estimated 9 matches for "bootstepaic".

2017 Aug 22
4
boot.stepAIC fails with computed formula
I'm trying to use boot.stepAIC for feature selection; I need to be able to specify the name of the dependent variable programmatically, but this appear to fail: In R-Studio with MS R Open 3.4: library(bootStepAIC) #Fake data n<-200 x1 <- runif(n, -3, 3) x2 <- runif(n, -3, 3) x3 <- runif(n, -3, 3) x4 <- runif(n, -3, 3) x5 <- runif(n, -3, 3) x6 <- runif(n, -3, 3) x7 <- runif(n, -3, 3) x8 <- runif(n, -3, 3) y1 <- 42+x3 + 2*x6 + 3*x8 + runif(n, -0.5, 0.5) dat <- data.frame(x1...
2007 Sep 17
1
Stepwise logistic model selection using Cp and BIC criteria
Hi, Is there any package for logistic model selection using BIC and Mallow's Cp statistic? If not, then kindly suggest me some ways to deal with these problems. Thanks. -- View this message in context: http://www.nabble.com/Stepwise-logistic-model-selection-using-Cp-and-BIC-criteria-tf4464430.html#a12729613 Sent from the R help mailing list archive at Nabble.com.
2007 Jun 04
2
How to obtain coefficient standard error from the result of polr?
Hi - I am using polr. I can get a result from polr fit by calling result.plr <- polr(formula, data=mydata, method="probit"); However, from the 'result.plr', how can I access standard error of the estimated coefficients as well as the t statistics for each one of them? What I would like to do ultimately is to see which coefficients are not significant and try to refit the
2017 Aug 22
1
boot.stepAIC fails with computed formula
...17 AM, Stephen O'hagan <SOhagan at manchester.ac.uk> wrote: > I'm trying to use boot.stepAIC for feature selection; I need to be able to specify the name of the dependent variable programmatically, but this appear to fail: > > In R-Studio with MS R Open 3.4: > > library(bootStepAIC) > > #Fake data > n<-200 > > x1 <- runif(n, -3, 3) > x2 <- runif(n, -3, 3) > x3 <- runif(n, -3, 3) > x4 <- runif(n, -3, 3) > x5 <- runif(n, -3, 3) > x6 <- runif(n, -3, 3) > x7 <- runif(n, -3, 3) > x8 <- runif(n, -3, 3) > y1 <- 42+...
2017 Aug 22
0
boot.stepAIC fails with computed formula
...n > <SOhagan at manchester.ac.uk> wrote: >> I'm trying to use boot.stepAIC for feature selection; I need to be able to specify the name of the dependent variable programmatically, but this appear to fail: >> >> In R-Studio with MS R Open 3.4: >> >> library(bootStepAIC) >> >> #Fake data >> n<-200 >> >> x1 <- runif(n, -3, 3) >> x2 <- runif(n, -3, 3) >> x3 <- runif(n, -3, 3) >> x4 <- runif(n, -3, 3) >> x5 <- runif(n, -3, 3) >> x6 <- runif(n, -3, 3) >> x7 <- runif(n, -3, 3) &gt...
2017 Aug 23
3
boot.stepAIC fails with computed formula
...17 AM, Stephen O'hagan <SOhagan at manchester.ac.uk> wrote: > I'm trying to use boot.stepAIC for feature selection; I need to be able to specify the name of the dependent variable programmatically, but this appear to fail: > > In R-Studio with MS R Open 3.4: > > library(bootStepAIC) > > #Fake data > n<-200 > > x1 <- runif(n, -3, 3) > x2 <- runif(n, -3, 3) > x3 <- runif(n, -3, 3) > x4 <- runif(n, -3, 3) > x5 <- runif(n, -3, 3) > x6 <- runif(n, -3, 3) > x7 <- runif(n, -3, 3) > x8 <- runif(n, -3, 3) > y1 <- 42+...
2017 Aug 22
0
boot.stepAIC fails with computed formula
...17 AM, Stephen O'hagan <SOhagan at manchester.ac.uk> wrote: > I'm trying to use boot.stepAIC for feature selection; I need to be able to specify the name of the dependent variable programmatically, but this appear to fail: > > In R-Studio with MS R Open 3.4: > > library(bootStepAIC) > > #Fake data > n<-200 > > x1 <- runif(n, -3, 3) > x2 <- runif(n, -3, 3) > x3 <- runif(n, -3, 3) > x4 <- runif(n, -3, 3) > x5 <- runif(n, -3, 3) > x6 <- runif(n, -3, 3) > x7 <- runif(n, -3, 3) > x8 <- runif(n, -3, 3) > y1 <- 42+...
2017 Aug 22
1
boot.stepAIC fails with computed formula
...gt; >>> I'm trying to use boot.stepAIC for feature selection; I need to be able >>> to specify the name of the dependent variable programmatically, but this >>> appear to fail: >>> >>> In R-Studio with MS R Open 3.4: >>> >>> library(bootStepAIC) >>> >>> #Fake data >>> n<-200 >>> >>> x1 <- runif(n, -3, 3) >>> x2 <- runif(n, -3, 3) >>> x3 <- runif(n, -3, 3) >>> x4 <- runif(n, -3, 3) >>> x5 <- runif(n, -3, 3) >>> x6 <- runif(n, -3,...
2017 Aug 23
0
boot.stepAIC fails with computed formula
...;hagan <SOhagan at manchester.ac.uk> wrote: >> I'm trying to use boot.stepAIC for feature selection; I need to be able to specify the name of the dependent variable programmatically, but this appear to fail: >> >> In R-Studio with MS R Open 3.4: >> >> library(bootStepAIC) >> >> #Fake data >> n<-200 >> >> x1 <- runif(n, -3, 3) >> x2 <- runif(n, -3, 3) >> x3 <- runif(n, -3, 3) >> x4 <- runif(n, -3, 3) >> x5 <- runif(n, -3, 3) >> x6 <- runif(n, -3, 3) >> x7 <- runif(n, -3, 3) &gt...