mboot2: Multiplier Bootstrap
In ptetools: Panel Treatment Effects Tools
View source: R/process_att_gt.R
mboot2 R Documentation
Multiplier Bootstrap
Description
Function for using multiplier bootstrap to conduct
inference
Usage
mboot2(inffunc, biters = 1000, alp = 0.05)
Arguments
inffunc
influence function matrix
biters
number of bootstrap iterations; default is 100
alp
significance level; default is 0.05
Value
list with the following elements:
-
boot_se: bootstrap standard errors
-
crit_val: critical value for uniform confidence bands
ptetools documentation built on April 12, 2025, 1:28 a.m.
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View source: R/process_att_gt.R
| mboot2 | R Documentation |
Multiplier Bootstrap
Description
Function for using multiplier bootstrap to conduct inference
Usage
mboot2(inffunc, biters = 1000, alp = 0.05)
Arguments
inffunc |
influence function matrix |
biters |
number of bootstrap iterations; default is 100 |
alp |
significance level; default is 0.05 |
Value
list with the following elements:
-
boot_se: bootstrap standard errors -
crit_val: critical value for uniform confidence bands
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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