display.dconf: A Wrapper Function for Plotting Confidence Densities

In ddarmon/clp: R Package for Computing Confidence Functions to Accompany CLP

Description

A wrapper for plotting confidence densities using confidence objects returned by *.conf() functions from clp.

Usage

display.dconf(obj, xlim = NULL, xlab = NULL, col = "black", n.points = 2001)

Arguments

obj	a list of confidence functions returned by a *.conf() function
xlim	the horizontal limits for the plot. If NULL, taken as a 99.8% confidence interval.
xlab	the label for the horizontal axis
col	the color to plot the confidence curve
n.points	the number of points to plot for the confidence curve

Value

a plot of the confidence curve from obj

References

Tore Schweder and Nils Lid Hjort. Confidence, likelihood, probability. Vol. 41. Cambridge University Press, 2016.

Examples

data(dietstudy)

x <- dietstudy$weightchange[dietstudy$diet == 'Low Carb']

out <- t_test.conf(x, plot = FALSE)

display.dconf(out, xlab = 'Average Weight Loss in Low Carb Group (lbs)')

ddarmon/clp documentation built on Jan. 25, 2021, 6:22 p.m.