compute_effect_size: Compute effect sizes from bootstrap distributions
In besthr: Generating Bootstrap Estimation Distributions of HR Data
compute_effect_size R Documentation
Compute effect sizes from bootstrap distributions
Description
Calculates the effect size (difference from control) for each treatment group
with bootstrap confidence intervals.
Usage
compute_effect_size(hrest)
Arguments
hrest
An hrest object from estimate
Value
A data frame with columns: group, effect, effect_ci_low, effect_ci_high
Examples
d <- make_data()
hr <- estimate(d, score, group, nits = 500)
compute_effect_size(hr)
besthr documentation built on March 18, 2026, 5:08 p.m.
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| compute_effect_size | R Documentation |
Compute effect sizes from bootstrap distributions
Description
Calculates the effect size (difference from control) for each treatment group with bootstrap confidence intervals.
Usage
compute_effect_size(hrest)
Arguments
hrest |
An hrest object from |
Value
A data frame with columns: group, effect, effect_ci_low, effect_ci_high
Examples
d <- make_data()
hr <- estimate(d, score, group, nits = 500)
compute_effect_size(hr)
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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