AutoSelectLRM: Automated backward elemination for logistic regression
In ModelGood: Validation of risk prediction models
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Wrapper for automated backward elemination for logistic
regression
Usage
1
Arguments
formula
passed to lrm
data
passed to lrm
...
passed to fastbw
Details
First run backward elemination via fastbw from the rms
package, then fit the logistic regression model including
the selected variables
Value
object of class AutoSelectLRM
Author(s)
Thomas A. Gerds <tag@biostat.ku.dk>
See Also
fastbw lrm
Examples
1
2
3
4
5
6
library(rms)
set.seed(7)
x <- abs(rnorm(20))
d <- data.frame(y=rbinom(20,1,x/max(x)),x=x,z=rnorm(20))
fbw <- AutoSelectLRM(y~x+z,d)
predictStatusProb(fbw,newdata=d[1:3,])
ModelGood documentation built on May 2, 2019, 5 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) See Also Examples
Description
Wrapper for automated backward elemination for logistic regression
Usage
1 |
Arguments
formula |
passed to lrm |
data |
passed to lrm |
... |
passed to fastbw |
Details
First run backward elemination via fastbw from the rms package, then fit the logistic regression model including the selected variables
Value
object of class AutoSelectLRM
Author(s)
Thomas A. Gerds <tag@biostat.ku.dk>
See Also
fastbw lrm
Examples
1 2 3 4 5 6 | library(rms)
set.seed(7)
x <- abs(rnorm(20))
d <- data.frame(y=rbinom(20,1,x/max(x)),x=x,z=rnorm(20))
fbw <- AutoSelectLRM(y~x+z,d)
predictStatusProb(fbw,newdata=d[1:3,])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.