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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(...

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.

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

...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 <- 4...

...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) &...

...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 <- 4...

...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 <- 4...

...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...

...;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) &...