localboot
is an R package that offers tools for
bootstrapping various networks through a local bootstrap procedure. It’s
particularly useful in network analysis for estimating the uncertainty
of graph statistics. The package also includes utility functions that
generating probability matrices, creating network adjacency matrices,
and plotting network.
To install the latest version of localboot
from
CRAN:
install.packages("localboot")
To install the development version from GitHub:
# install.packages("devtools")
::install_github("zzz1990771/localboot") devtools
inst\sim
folder for advanced analysis.After installing the localboot
package, you can load it
into your R session:
library(localboot)
?localboot
Example usage:
# Example usage
= generate_graphon(100, 1)
P = generate_network_P(P, replicate = 1, symmetric.out = TRUE)
A <- localboot(A = A, B = 100, returns = "boot") result
The localboot package comes with several simulation scripts located
in the inst\sim
folder. These scripts can be loaded and
used for various simulations and analyses:
Fit_local_boot.R
: Demonstrates the application of
local bootstrap procedures to networks. It generates random networks by
generate_graphon()
and generate_network_P()
and fit local boostrap procedures on it using the main function
localboot()
.
Generate_various_networks.R
: Generates a variety of
synthetic networks for testing network analysis algorithms.
Sim1_truese.R
: Obtains true simulated standard
errors for graph statistics in various network simulations.
Sim1_estimates_local.R
: Generates various simulated
networks and obtains estimated standard errors for different graph
statistics by applying local bootstrap procedure.
Sim1_estimate_others.R
: Generates various simulated
networks and obtains estimated standard errors for different graph
statistics by applying other alternative procedures.
sup_funcs_sim.R
: Support functions for simulations
in Sim1_estimate_others.R
.
Optimal_local_size.R
: Generates plots to visualize
the optimal neighbor set size of local bootstrap procedure for standard
error estimation in relation to the number of blocks (K) in a Stochastic
Block Model (SBM).
To load a script, use the system.file()
function to find
its path and then load it with file.edit()
. For
example:
<- system.file("sim/Generate_various_networks.R", package = "localboot")
scriptPath file.edit(scriptPath)
This package, along with the scripts Sim1_truese.R
,
Sim1_estimates_local.R
, and
Sim1_estimate_others.R
, can be used to replicate the
results presented in Paper XXX. Detailed instructions and data required
for replication are provided within each script, ensuring a
comprehensive understanding of the proposed local boostrap
procedure.
This package is free and open source software, licensed under GPL-3.
-Tianhai Zu (zuti@mail.uc.edu)
-Yichen Qin (qinyn@ucmail.uc.edu)