Technical Appendix: Workflow of `do

Goal

This technical appendix describes how do_boot() from the package manymome (Cheung & Cheung, 2024) works to generate bootstrap estimates to be used by other functions to form confidence intervals.

`do_boot()`

Workflow of manymome::do_boot()

`lavaan`

`fit2boot_out()`

It retrieves stored bootstrap estimates.

Workflow of manymome::fit2boot_out()

`fit2boot_out_do_boot()`

Workflow of manymome::fit2boot_out_do_boot()

`lm`

`lm2boot_out_parallel()`

Workflow of manymome::lm2boot_out_parallel()

`lm2boot_out()`

Workflow of manymome::lm2boot_out()

Notes

Extracting Point Estimates

When the point estimates are needed, they will be extracted internally using functions developed for the fit object, which can be a lavaan-class object, a list of the outputs from stats::lm(), or a lavaan.mi-class object generated by fitting a model to several datasets using multiple imputation.

Reference

Cheung, S. F., & Cheung, S.-H. (2024). manymome: An R package for computing the indirect effects, conditional effects, and conditional indirect effects, standardized or unstandardized, and their bootstrap confidence intervals, in many (though not all) models. Behavior Research Methods, 56(5), 4862–4882. https://doi.org/10.3758/s13428-023-02224-z

Technical Appendix: Workflow of `do_boot()`

Shu Fai Cheung & Sing-Hang Cheung