mboot {triplediff} | R Documentation |
Multiplier Bootstrap
Description
This function take an influence function and use the multiplier bootstrap to compute standard errors and critical values for uniform confidence bands.
Usage
mboot(inf_func, did_preprocessed, use_parallel = FALSE, cores = 1)
Arguments
inf_func |
an influence function |
did_preprocessed |
A |
use_parallel |
Boolean of whether or not to use parallel processing in the multiplier
bootstrap, default is |
cores |
the number of cores to use with parallel processing, default is |
Value
A list with following elements
bres |
results from each bootstrap iteration. |
V |
variance matrix. |
se |
standard errors. |
crit_val |
a critical value for computing uniform confidence bands. |
[Package triplediff version 0.1.0 Index]