Comments (3)
Interesting suggestion. That should be pretty easy to implement.
from fwb.
Done in the new version. I added Mammen weights, which are second-order accurate and related to the wild bootstrap, multinomial weights, which yield identical results to using the ordinary resampling bootstrap, and Poisson weights, which are similar to multinomial weights but a little faster to generate. The Gamma weights turned out to be very specific and not amenable to use in general contexts. The Mammen weights have their desired properties, anyway (positive; mean, SD, and skew all equal to 1).
The type of weights can be specified using the wtype
argument to fwb()
or by setting a global default using set_fwb_wtype()
.
from fwb.
Very cool!
from fwb.
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from fwb.