localboot {localboot}

Local Bootstrap for Network Data

Description

This function applies a local bootstrap method to network data, represented by an adjacency matrix. It offers various methods and options for bootstrapping, including handling weighted networks and custom distance functions.

Usage

localboot(
  A,
  B,
  quantile_n = 0,
  returns = "boot",
  method = "own",
  dist_func = get_dist_default_eigen,
  kowning_u = NULL,
  induced_sampling = TRUE,
  weighted = FALSE,
  getT = NULL,
  user_blist = NULL,
  fast = NULL,
  ...
)

Arguments

A

A square adjacency matrix of the network.

B

The number of bootstrap samples to generate.

quantile_n

The quantile used for neighborhood selection in some methods. If set to 0 (default), it's calculated as (log(N) / N)^0.5.

returns

Specifies the type of output returned. Possible values are "boot" (default), "p_and_time", "p_and_boot", and "T".

method

The method used for bootstrapping. Options are "own" and "zhu".

dist_func

A function to compute the distance matrix. Default is 'get_dist_default_eigen'.

kowning_u

An optional known 'u' vector for distance calculation.

induced_sampling

A logical indicating whether to use induced sampling. Defaults to TRUE.

weighted

A logical indicating if the network is weighted. Defaults to FALSE.

getT

An optional function to apply to each bootstrapped sample.

user_blist

An optional user-provided bootstrap list.

fast

A logical indicating if a faster, approximate method should be used. Automatically set based on network size if NULL.

...

Additional arguments passed to other methods.

Value

Depending on the 'returns' argument, this function can return various types of outputs including bootstrapped networks, estimated probabilities, computation times, and statistics from the 'getT' function.

Examples

# Example usage
P = generate_graphon(100, 1)
A = generate_network_P(P, replicate = 1, symmetric.out = TRUE)
result <- localboot(A = A, B = 100, returns = "boot")