get_selected_variable_names: Helper function to extract selected variables from fitted...
In mfp2: Multivariable Fractional Polynomial Models with Extensions
get_selected_variable_names R Documentation
Helper function to extract selected variables from fitted mfp2 object
Description
Simply extracts all variables for which not all powers are estimated to
be NA. The names refer to the original names in the dataset and do not
include transformations.
Usage
get_selected_variable_names(object)
Arguments
object
fitted mfp2 object.
Value
Character vector of names, ordered as defined by xorder in mfp2().
Examples
# Gaussian model
data("prostate")
x = as.matrix(prostate[,2:8])
y = as.numeric(prostate$lpsa)
# default interface
fit = mfp2(x, y, verbose = FALSE)
get_selected_variable_names(fit)
mfp2 documentation built on June 8, 2025, 11:04 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| get_selected_variable_names | R Documentation |
Helper function to extract selected variables from fitted mfp2 object
Description
Simply extracts all variables for which not all powers are estimated to
be NA. The names refer to the original names in the dataset and do not
include transformations.
Usage
get_selected_variable_names(object)
Arguments
object |
fitted |
Value
Character vector of names, ordered as defined by xorder in mfp2().
Examples
# Gaussian model
data("prostate")
x = as.matrix(prostate[,2:8])
y = as.numeric(prostate$lpsa)
# default interface
fit = mfp2(x, y, verbose = FALSE)
get_selected_variable_names(fit)
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.