pool_RR: Function to combine estimates by using Rubin's Rules
In psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets
pool_RR R Documentation
Function to combine estimates by using Rubin's Rules
Description
pool_RR Rubin's Rules
Usage
pool_RR(est, se, conf.level = 0.95, n, k)
Arguments
est
A vector of multiple parameter estimates
se
A vector of multiple standard error estimates
conf.level
desired confidence limits
n
sample size in completed dataset
k
number of parameters to pool
Author(s)
Martijn Heymans, 2021
psfmi documentation built on July 9, 2023, 7:02 p.m.
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| pool_RR | R Documentation |
Function to combine estimates by using Rubin's Rules
Description
pool_RR Rubin's Rules
Usage
pool_RR(est, se, conf.level = 0.95, n, k)
Arguments
est |
A vector of multiple parameter estimates |
se |
A vector of multiple standard error estimates |
conf.level |
desired confidence limits |
n |
sample size in completed dataset |
k |
number of parameters to pool |
Author(s)
Martijn Heymans, 2021
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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