bias: bias
In matteobonvini/sensitivitypuc: Sensitivity Analysis via the Proportion of Unmeasured Confounding (PUC)
Description
Usage
Arguments
Value
Description
bias computes the integrated bias (in
definition.
Usage
1
bias(simmat, truth)
Arguments
simmat
a n x nsim matrix, where n is the number of epsilon points used
in evaluation and nsim is the number of simulations. If it is a nsim-dim
vector, the length is interpreted as the number of simulations of a scalar
quantity.
truth
a n x 1 vector containing the true values for the curve.
If simmat is a vector, truth must be scalar.
Value
scalar equal to bias (in
matteobonvini/sensitivitypuc documentation built on Dec. 9, 2020, 2:24 a.m.
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Description Usage Arguments Value
Description
bias computes the integrated bias (in
definition.
Usage
1 | bias(simmat, truth)
|
Arguments
simmat |
a n x nsim matrix, where n is the number of epsilon points used in evaluation and nsim is the number of simulations. If it is a nsim-dim vector, the length is interpreted as the number of simulations of a scalar quantity. |
truth |
a n x 1 vector containing the true values for the curve. If simmat is a vector, truth must be scalar. |
Value
scalar equal to bias (in
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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