Package: snowboot 1.0.2

snowboot: Bootstrap Methods for Network Inference

Functions for analysis of network objects, which are imported or simulated by the package. The non-parametric methods of analysis center on snowball and bootstrap sampling for estimating functions of network degree distribution. For other parameters of interest, see, e.g., 'bootnet' package.

Authors:Leticia Ramirez-Ramirez [aut], Kusha Nezafati [aut], Yuzhou Chen [aut], Vyacheslav Lyubchich [aut, cre], Yulia R. Gel [aut]

snowboot_1.0.2.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
snowboot/json (API)

# Install 'snowboot' in R:
install.packages('snowboot', repos = c('https://vlyubchich.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • artificial_networks - 10 Simulated Networks of Order 2000 with Polylogarithmic (0.1, 2) Degree Distributions

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.75 score 2 stars 28 scripts 283 downloads 10 exports 14 dependencies

Last updated from:d85f0922f0. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK149
linux-devel-x86_64OK122
source / vignettesOK196
linux-release-arm64OK136
linux-release-x86_64OK175
macos-release-arm64OK106
macos-release-x86_64OK291
macos-oldrel-arm64OK93
macos-oldrel-x86_64OK178
windows-develOK109
windows-releaseOK99
windows-oldrelOK118
wasm-releaseOK112

Exports:boot_ciboot_ddigraph_to_networklsmilsmi_cvlsmi_ddlsmi_unionrandom_networksample_about_one_seedvertboot

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrbibutilsRcppRdpackrlangvctrs