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fabCI (version 0.2)

fabregCI: FAB regression coefficient intervals

Description

Compute the adaptive FAB t-intervals for the coefficients of a regression model.

Usage

fabregCI(y, X, alpha = 0.05, dof = min(50, round(0.5 * (dim(X)[1] -
  dim(X)[2]))), verbose = TRUE)

Value

A matrix where each row corresponds to the interval and OLS estimate of a coefficient.

Arguments

y

a numeric vector of data

X

a design matrix

alpha

the type I error rate, so 1-alpha is the coverage rate

dof

degrees of freedom to use for the t-quantiles (the remainder go to adaptive estimation of the prior)

verbose

logical, print progress or not

Author

Peter Hoff

Details

This function computes the adaptive FAB confidence interval for each coefficient in a linear regression model.