naive.fun: Conformal prediction for linear regression
In ConformalSmallest: Efficient Tuning-Free Conformal Prediction
Description
Usage
Arguments
Value
Description
Conformal prediction for linear regression
Usage
1
naive.fun(X, Y, X0, alpha = 0.1)
Arguments
X
A N*d training matrix
Y
A N*1 training vector
X0
A N0*d testing vector
alpha
miscoverage level
Value
upper and lower prediction intervals for X0
ConformalSmallest documentation built on Aug. 9, 2021, 5:07 p.m.
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Description Usage Arguments Value
Description
Conformal prediction for linear regression
Usage
1 | naive.fun(X, Y, X0, alpha = 0.1)
|
Arguments
X |
A N*d training matrix |
Y |
A N*1 training vector |
X0 |
A N0*d testing vector |
alpha |
miscoverage level |
Value
upper and lower prediction intervals for X0
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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