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]

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snowboot.pdf |snowboot.html✨
snowboot/json (API)
NEWS

# Install 'snowboot' in R:
install.packages('snowboot', repos = c('https://vlyubchich.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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:

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

1.60 score 2 stars 20 scripts 188 downloads 10 exports 14 dependencies

Last updated 5 years agofrom:d85f0922f0. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64OKNov 14 2024
R-4.5-linux-x86_64OKNov 14 2024
R-4.4-win-x86_64OKNov 14 2024
R-4.4-mac-x86_64OKNov 14 2024
R-4.4-mac-aarch64OKNov 14 2024
R-4.3-win-x86_64OKNov 14 2024
R-4.3-mac-x86_64OKNov 14 2024
R-4.3-mac-aarch64OKNov 14 2024

Exports:boot_ciboot_ddigraph_to_networklsmilsmi_cvlsmi_ddlsmi_unionrandom_networksample_about_one_seedvertboot

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrbibutilsRcppRdpackrlangvctrs