Description Usage Arguments Value References See Also Examples
This function delivers bootstrap estimates of network degree distribution based on an LSMI sample. The bootstrap scheme is non-weighted for seeds (resampling with replacement) and weighted for non-seeds (resampling with replacement, with weights proportional to inverse of the degrees), as described in Section 3.3 by \insertCitethompson_etal_2016;textualsnowboot and in Algorithm 1 by \insertCitegel_etal_2017;textualsnowboot.
1 | boot_dd(x, B = 100, cl = 1)
|
x |
a list that is the output of |
B |
a positive integer, the number of bootstrap replications to perform. Default is 100. |
cl |
parameter to specify computer cluster for bootstrapping, passed to
the package
|
A list object of class "snowboot
" consisting of:
fkb |
A matrix of dimensions |
mub |
A vector of length |
fk |
A vector with an estimate of the degree distribution, copied
from the input |
mu |
An estimate of the mean degree, copied from the input |
B |
The number of bootstrap replications performed. |
1 2 3 | net <- artificial_networks[[1]]
lsmiEstimate <- lsmi_dd(net = net, n.seed = 5, n.wave = 3)
bootEstimates <- boot_dd(lsmiEstimate, B = 10)
|
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