umauregCI: UMAU regression coefficient intervals
In pdhoff/fabCI: FAB Confidence Intervals
Description
Usage
Arguments
Details
Value
Author(s)
Description
Compute the usual t-intervals for the coefficients of a
regression model
Usage
1
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
pdhoff/fabCI documentation built on Jan. 18, 2021, 8:39 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Compute the usual t-intervals for the coefficients of a regression model
Usage
1 | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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