bootstrap_vpc: Bootstrap VPC/ICC
In MAIHDA: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy
View source: R/summary_maihda.R
bootstrap_vpc R Documentation
Bootstrap VPC/ICC
Description
Internal function to compute bootstrap confidence intervals for VPC.
Usage
bootstrap_vpc(model, data, formula, n_boot, conf_level)
Arguments
model
An lme4 model object
data
The data used to fit the model
formula
The model formula
n_boot
Number of bootstrap samples
conf_level
Confidence level
Value
A vector with lower and upper confidence bounds
MAIHDA documentation built on April 5, 2026, 5:06 p.m.
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View source: R/summary_maihda.R
| bootstrap_vpc | R Documentation |
Bootstrap VPC/ICC
Description
Internal function to compute bootstrap confidence intervals for VPC.
Usage
bootstrap_vpc(model, data, formula, n_boot, conf_level)
Arguments
model |
An lme4 model object |
data |
The data used to fit the model |
formula |
The model formula |
n_boot |
Number of bootstrap samples |
conf_level |
Confidence level |
Value
A vector with lower and upper confidence bounds
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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