CUBIC_MODEL-cash-E: Expectation of the residuals
In TengMCing/visage: Visual Inference for Linear Regression Diagnostics

CUBIC_MODEL$E

R Documentation

Expectation of the residuals

Description

This function calculate the expectation of the residuals by the use of the Frisch–Waugh–Lovell theorem.

Arguments

`dat`	Dataframe/List. List contains variable `x` and `z`.
`a`	Numeric. Default is `a = self$prm$a`.
`b`	Numeric. Default is `b = self$prm$b`.
`c`	Numeric. Default is `c = self$prm$c`.

Value

A vector of numeric expectations.

Examples


mod <- cubic_model(-1, 1, 1, 0.5)
dat <- mod$gen(1000, fit_model = TRUE)
dat$exp <- mod$E(dat)
mod$plot(dat) + ggplot2::geom_point(ggplot2::aes(.fitted, exp),
                                    col = "red",
                                    alpha = 0.6)

TengMCing/visage documentation built on Aug. 28, 2024, 3:27 p.m.