Package: logitFD
Type: Package
Title: Functional Principal Components Logistic Regression
Version: 1.0
Date: 2021-12-22
Author: Carmen Lucia Reina <carmenlureina@gmail.com> Ana Maria Aguilera <aaguiler@ugr.es>
	and Manuel Escabias <escabias@ugr.es>
Description: Functions for fitting a functional principal components logit regression model
	in four different situations: ordinary and filtered functional principal components
	of functional predictors, included in the model according to their variability
	explanation power, and according to their prediction ability by stepwise methods. The
	proposed methods were developed in Escabias et al (2004) 
	<doi:10.1080/10485250310001624738> and Escabias et al (2005)
	<doi:10.1016/j.csda.2005.03.011>.
Depends: R (>= 3.4.3)
License: GPL (>= 2)
Imports: fda, expm, pROC, fda.usc
Encoding: UTF-8
Maintainer: Manuel Escabias <escabias@ugr.es>
NeedsCompilation: no
Packaged: 2022-01-07 12:35:25 UTC; escabias
Repository: CRAN
Date/Publication: 2022-01-10 08:52:43 UTC
Built: R 4.6.0; ; 2026-04-25 13:08:09 UTC; unix
