umauregCI {fabCI} | R Documentation |
UMAU regression coefficient intervals
Description
Compute the usual t-intervals for the coefficients of a regression model
Usage
umauregCI(y, X, alpha = 0.05)
Arguments
y |
a numeric vector of data |
X |
a design matrix |
alpha |
the type I error rate, so 1-alpha is the coverage rate |
Details
This function computes the 'usual' uniformly most accurate unbiased confidence interval for each coefficient in a linear regression model.
Value
A matrix where each row corresponds to the interval and OLS estimate of a coefficient.
Author(s)
Peter Hoff
[Package fabCI version 0.2 Index]