double_bootstrap_inner: Fast computation of bootstrap bias
In adzemski/netprobitFE: Network probit with fixed effects
Description
Usage
Arguments
Value
Description
Fast computation of bootstrap bias
Usage
1
2
double_bootstrap_inner(wide, rho_bs0, model, bs_iterations = 200,
trimming_bound = 0)
Arguments
wide
link data in wide format
rho_bs0
within-dyad correlation of bootstrap distribution
model
model description in special list format
bs_iterations
number of bootstrap replications
trimming_bound
bound for trimming small probabilities
Value
bootstrap sample (vector)
adzemski/netprobitFE documentation built on May 17, 2019, 11:40 a.m.
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Description Usage Arguments Value
Description
Fast computation of bootstrap bias
Usage
1 2 | double_bootstrap_inner(wide, rho_bs0, model, bs_iterations = 200,
trimming_bound = 0)
|
Arguments
wide |
link data in wide format |
rho_bs0 |
within-dyad correlation of bootstrap distribution |
model |
model description in special list format |
bs_iterations |
number of bootstrap replications |
trimming_bound |
bound for trimming small probabilities |
Value
bootstrap sample (vector)
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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