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FREG (version 1.1)

Functional Regression Models

Description

Different regression models with functional features are implemented: for continuous response, categorical response and ordinal response. The model for ordinal response has been published in: 'Analyzing cycling sensors data through ordinal logistic regression with functional covariates, Jacques J. and Samardzic S., Journal of the Royal Statistical Society, Series C, 1-18, 2022'.

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Version

Install

install.packages('FREG')

Monthly Downloads

11

Version

1.1

License

GPL-3

Maintainer

Julien Jacques

Last Published

May 9th, 2022

Functions in FREG (1.1)

optimization

Fisher Scoring algorithm
predict.freg

Predict FREG model
cycling

Cycling dataset
summary.olfreg

Summary of OLFREG model
freg

Functional linear regression model
plot_olfreg

Plot coefficients from OLFREG model
lfreg

Functional logistic regression model
gradient

Estimation of gradient of log-likelihood function
predict.olfreg

Predict OLFREG model
romberg_alg

Romberg integration
predict.lfreg

Predict LFREG model
loglik

Log-likelihood function
olfreg

Functional ordinal logistic regression model
CanadianWeather

Canadian Weather dataset.
plot_freg

Plot coefficients from FREG model
Hessian

Estimation of Hessian matrix
plot_lfreg

Plot coefficients from LFREG model
summary.lfreg

Summary of LFREG model
summary.freg

Summary of FREG model