get_ci: get_ci
In matteobonvini/sensitivitypuc: Sensitivity Analysis via the Proportion of Unmeasured Confounding (PUC)
Description
Usage
Arguments
Value
Description
get_ci constructs a Wald-type confidence interval
Usage
1
Arguments
muhat
the n x 1 vector of means
sigmahat
the nx1 vector of variances
c
the multiplier (e.g. 1.96)
Value
a nx2 matrix containing lower and upper endpoints of confidence
interval.
matteobonvini/sensitivitypuc documentation built on Dec. 9, 2020, 2:24 a.m.
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Description Usage Arguments Value
Description
get_ci constructs a Wald-type confidence interval
Usage
1 |
Arguments
muhat |
the n x 1 vector of means |
sigmahat |
the nx1 vector of variances |
c |
the multiplier (e.g. 1.96) |
Value
a nx2 matrix containing lower and upper endpoints of confidence interval.
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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