rmse: root-n-rmse
In matteobonvini/sensitivitypuc: Sensitivity Analysis via the Proportion of Unmeasured Confounding (PUC)
Description
Usage
Arguments
Value
Description
rmse computes RMSE, see Section 4 in paper
Usage
1
rmse(simmat, truth, n)
Arguments
simmat
a neps x nsim matrix, where neps is the number of epsilon
points used in evaluation and nsim is the number of simulations.
truth
a neps x 1 vector containing the true values for the curve.
n
sample size.
Value
scalar equal to the √(n) \times \text{RMSE}.
matteobonvini/sensitivitypuc documentation built on Dec. 9, 2020, 2:24 a.m.
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Description Usage Arguments Value
Description
rmse computes RMSE, see Section 4 in paper
Usage
1 | rmse(simmat, truth, n)
|
Arguments
simmat |
a neps x nsim matrix, where neps is the number of epsilon points used in evaluation and nsim is the number of simulations. |
truth |
a neps x 1 vector containing the true values for the curve. |
n |
sample size. |
Value
scalar equal to the √(n) \times \text{RMSE}.
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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