constructNewdataMatrix: Construct the covariates matrix for new data based on an...
In glmBfp: Bayesian Fractional Polynomials for GLMs
Description
Usage
Arguments
Value
View source: R/constructNewdataMatrix.R
Description
This is an internal function, which constructs a model matrix for new covariate
data, based on the formula and scaling info in an existing GlmBayesMfp object.
The matrix can then be passed to prediction functions.
Usage
1
constructNewdataMatrix(object, newdata)
Arguments
object
a valid GlmBayesMfp-Object
newdata
the new covariate data as a data.frame (with the same
covariate names as in the call to glmBayesMfp)
Value
The (uncentered!) model matrix with the FP columns shifted and scaled as for the
original data.
glmBfp documentation built on July 2, 2020, 2:30 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.
Description Usage Arguments Value
View source: R/constructNewdataMatrix.R
Description
This is an internal function, which constructs a model matrix for new covariate data, based on the formula and scaling info in an existing GlmBayesMfp object. The matrix can then be passed to prediction functions.
Usage
1 | constructNewdataMatrix(object, newdata)
|
Arguments
object |
a valid |
newdata |
the new covariate data as a data.frame (with the same
covariate names as in the call to |
Value
The (uncentered!) model matrix with the FP columns shifted and scaled as for the original data.
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.