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F_Logit_R

Functional logistic regression analysis.

This repo contains the R code used for the simulations in the manuscript "A robust functional principal component analysis for scalar-on-function regression". It also includes classical functional partial least squares, functional principal component analysis, and a robust functional partial least squares methods.

Authors

Berkay Akturk, Ufuk Beyaztas and Han Lin Shang

Procedure

The main file is "run.R" and "run2". First, download all the .R files and install the packages given below.

Packages

library(fda.usc) # Statistical Analysis of Functional Data

library(fda) # functional data analysis

library(robustX) # Robust estimation and inference for regression and scale

library(matrixStats) # Functions that Apply to Rows and Columns of Matrices

library(pROC) # Display and analyze ROC curves

library(pcaPP) # Robust PCA methods

library(robustbase) # Basic Robust Statistics

library(RobStatTM) # Robust Statistics: Bianco and Yohai estimator for logistic regression

library(expm) # Matrix exponential, logarithm, square root, and related functions

library(wle) # Weighted Likelihood Estimation

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Functional logistic regression analysis

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