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logitFD  

Functional Principal Components Logistic Regression
View on CRAN: Click here


Download and install logitFD package within the R console
Install from CRAN:
install.packages("logitFD")

Install from Github:
library("remotes")
install_github("cran/logitFD")

Install by package version:
library("remotes")
install_version("logitFD", "1.0")



Attach the package and use:
library("logitFD")
Maintained by
Manuel Escabias
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-10
Latest Update: 2022-01-10
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) and Escabias et al (2005) .
How to cite:
Manuel Escabias (2022). logitFD: Functional Principal Components Logistic Regression. R package version 1.0, https://cran.r-project.org/web/packages/logitFD. Accessed 04 Aug. 2026.
Previous versions and publish date:
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Complete documentation for logitFD
Functions, R codes and Examples using the logitFD R package
Some associated functions: logitFD.fpc . logitFD.fpc.step . logitFD.pc . logitFD.pc.step . 
Some associated R codes: logitFD.fpc.R . logitFD.fpc.step.R . logitFD.pc.R . logitFD.pc.step.R .  Full logitFD package functions and examples
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Maintainer: Yi Liu (view profile)

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