gradient

a design matrix which is a product of inner product of basis functions and basis coefficients of functional covariate <code>X</code>

a response variable of class <code>factor</code>

initial values for beta regression coefficients and intercepts

beta

First derivative of log-likelihood function

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'.

gradient: Estimation of gradient of log-likelihood function

Description

Usage

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Value