Other packages > Find by keyword >

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 07 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited logitFD R package
View logitFD citation profile
Other R packages that logitFD depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA