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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.

Version: 1.0.2
Depends: R (≥ 3.3.0)
Imports: graphics, igraph, parallel, Rcpp, Rdpack, stats
LinkingTo: Rcpp
Published: 2020-04-25
Author: Leticia Ramirez-Ramirez [aut], Kusha Nezafati [aut], Yuzhou Chen [aut], Vyacheslav Lyubchich ORCID iD [aut, cre], Yulia R. Gel [aut]
Maintainer: Vyacheslav Lyubchich <lyubchich at umces.edu>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: snowboot results

Documentation:

Reference manual: snowboot.pdf

Downloads:

Package source: snowboot_1.0.2.tar.gz
Windows binaries: r-devel: snowboot_1.0.2.zip, r-release: snowboot_1.0.2.zip, r-oldrel: snowboot_1.0.2.zip
macOS binaries: r-release (arm64): snowboot_1.0.2.tgz, r-oldrel (arm64): snowboot_1.0.2.tgz, r-release (x86_64): snowboot_1.0.2.tgz, r-oldrel (x86_64): snowboot_1.0.2.tgz
Old sources: snowboot archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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