bca_interval: Compute a BCa confidence interval
In drord: Doubly-Robust Estimators for Ordinal Outcomes
Description
Usage
Arguments
Value
Description
Compute a BCa confidence interval
Usage
1
bca_interval(pt_est, boot_samples, jack_samples, alpha = 0.05)
Arguments
pt_est
The point estimate of the parameter of interest
boot_samples
A collection of bootstrap realizations of the estimator
of the parameter of interest
jack_samples
A vector of jackknife estimates of the
parameter of interest.
alpha
Confidence intervals have nominal level 1-alpha.
Value
2-length vector containing BCa confidence interval limits.
drord documentation built on May 21, 2021, 1:06 a.m.
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Description Usage Arguments Value
Description
Compute a BCa confidence interval
Usage
1 | bca_interval(pt_est, boot_samples, jack_samples, alpha = 0.05)
|
Arguments
pt_est |
The point estimate of the parameter of interest |
boot_samples |
A collection of bootstrap realizations of the estimator of the parameter of interest |
jack_samples |
A vector of jackknife estimates of the parameter of interest. |
alpha |
Confidence intervals have nominal level 1- |
Value
2-length vector containing BCa confidence interval limits.
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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