Graphical Summary Information Pertaining to the Regression Coefficients

Share:

Description

Functions to extract regression coefficient bootstrap information from mvdalab objects.

Usage

1
coefsplot(object, ncomp = object$ncomp, conf = 0.95)

Arguments

object

an mvdareg object. A fitted model.

ncomp

the number of components to include.

conf

for a bootstrapped model, the confidence level to use.

Details

coefficients is used to extract a graphical summary of the regression coefficients of a PLS model.

If comps is missing (or is NULL), a graphical summary for the nth component regression estimates are returned. Otherwise, if comps is given parameters for a model with only the requested component comps is returned.

Bootstrap graphcal summaries provided are when method = oob.

Author(s)

Nelson Lee Afanador (nelson.afanador@mvdalab.com)

Examples

1
2
3
4
5
6
data(Penta)
## Number of bootstraps set to 500 to demonstrate flexibility
## Use a minimum of 1000 (default) for results that support bootstraping
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1], 
               ncomp = 2, validation = "oob", boots = 500)
coefsplot(mod1, ncomp = 1:2)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.