poridge
- Principal co-Ordinate RIDGE regressionAn R
package for principal coordinate ridge regression fitted by 'gam' (using mgcv
). When the principal coordinates are defined by a relevant distance among functional predictors, this is a form of nonparametric scalar-on-function regression. Reiss et al. (2016) describe the approach and apply it to dynamic time warping distances among functional predictors.
The package can be installed via the devtools
package directly from github using the following code:
install.packages("devtools")
devtools::install_github("dill/poridge")
An example (toy) analysis is shown in the package vignette.
The functions in poridge
are available via the refund
package's development branch. These methods will be available in the next CRAN release (c. July 2016).
Reiss, P. T., Miller, D. L., Wu, P.-S., and Wen-Yu Hua, W.-Y. Penalized nonparametric scalar-on-function regression via principal coordinates. Under revision. Preprint.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.