glm.lincom.conf: Confidence Functions for the Expected Response of a GLM...

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

Description

Confidence functions for the expected response of a GLM without dispersion.

Usage

glm.lincom.conf(mod, x, plot = TRUE, conf.level = 0.95)

Arguments

mod	an output from glm
x	a vector containing the predictor values for which the expected response is desired
plot	whether to plot the confidence density and curve
conf.level	the confidence level for the confidence interval indicated on the confidence curve

Value

A list containing the confidence functions pconf, dconf, cconf, and qconf for the expected response at x, as well as the P-curve and S-curve.

References

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

Examples

# Low birth weight example from page 38 of *Confidence, Likelihood, Probability*,

data(lbw)

mod <- glm(low ~ weight + age + black + other + smoker, data = lbw, family = binomial)

x.black <- c(1, 50, 23.238, 1, 0, 1)

pred.black <- glm.lincom.conf(mod, x.black)

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