Teaching Semiparametric Modeling Based on R Programming: Expectile Regression in Monotonic Partially Linear Models

Abstract

Instruction in the expectile regression estimation method for semiparametric partially linear models (PLMs) with monotonic constraints is a crucial component of graduate statistics courses. This paper demonstrates the R programming implementation of this estimation method using monotone B-spline approximation and provides a Monte Carlo simulation example for practical teaching purposes.