plot_likelihood: Scatter plot with likelihood superimposed.

In jbryer/visualMLE: Visual Maximum Likelihood Estimation

Description

Scatter plot with likelihood superimposed.

Usage

plot_likelihood(
  x,
  y,
  height = 0.4,
  k = 4,
  pt = 1,
  intercept = lm(y ~ x)$coefficients[1],
  slope = lm(y ~ x)$coefficients[2],
  sigma = sqrt(sum(resid(lm(y ~ x))^2)/length(x)),
  ...
)

Arguments

x	the predictor
y	the outcome
height	the proportion of the x-axis the distribution should occupy. That is, a height of 0.4 means the width of the distribution will occupy approximately 40 percent of the plot width.
k	the number of standard deviations to plot
pt	the point to highlight and draw the likelihood of.
sigma	the root mean square error

jbryer/visualMLE documentation built on Nov. 22, 2021, 12:18 a.m.