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Technical Appendix: Workflow of `do_boot()`
Shu Fai Cheung & Sing-Hang Cheung
Source:vignettes/articles/manymome_do_boot_workflow.Rmd
manymome_do_boot_workflow.Rmd
Goal
This technical appendix describes how do_boot()
from the
package manymome (Cheung & Cheung,
2023) 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_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. (2023). 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. https://doi.org/10.3758/s13428-023-02224-z