bootstrap_estimate: Bootstrap estimate, standard error and confidence interval
In weightflow: Declarative API for Staged Survey Weights
bootstrap_estimate R Documentation
Bootstrap estimate, standard error and confidence interval
Description
Applies a statistic to the point weights and to every replicate, and
summarises it with the bootstrap variance (1/B)\sum(\theta^*_b -
\hat\theta)^2.
Usage
bootstrap_estimate(boot, statistic, level = 0.95)
boot_total(boot, variable)
boot_mean(boot, variable)
Arguments
boot
a weightflow_boot object.
statistic
a function function(w, data) returning a numeric scalar
(or vector) given a weight vector and the data.
level
confidence level for the (normal) interval.
variable
name of the variable to estimate.
Value
A data frame with estimate, se, ci_lower, ci_upper.
weightflow documentation built on July 23, 2026, 1:08 a.m.
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| bootstrap_estimate | R Documentation |
Bootstrap estimate, standard error and confidence interval
Description
Applies a statistic to the point weights and to every replicate, and
summarises it with the bootstrap variance (1/B)\sum(\theta^*_b -
\hat\theta)^2.
Usage
bootstrap_estimate(boot, statistic, level = 0.95)
boot_total(boot, variable)
boot_mean(boot, variable)
Arguments
boot |
a |
statistic |
a function |
level |
confidence level for the (normal) interval. |
variable |
name of the variable to estimate. |
Value
A data frame with estimate, se, ci_lower, ci_upper.
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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