This package is considered a duplicate. The official version of this package is found at:https://enigmasong.r-universe.dev/nethist

Package: nethist 1.1.1

Youngseok Song

nethist: Network Histograms

Estimates network histograms, a blockmodel approximation to the graphon underlying a network's connectivity pattern, for both single-layer and multilayer networks. Implements graphon estimation methods including the profile-likelihood method of Olhede and Wolfe (2014) <doi:10.1073/pnas.1400374111> and the least-squares method of Gao, Lu, and Zhou (2015) <doi:10.1214/15-AOS1354> for single-layer networks, and the multilayer extension of Song and Olhede (2026) <doi:10.1093/comnet/cnag042>.

Authors:Youngseok Song [aut, cre], Sofia C. Olhede [aut]

nethist_1.1.1.tar.gz
nethist_1.1.1.zip(r-4.7-x86_64)nethist_1.1.1.zip(r-4.7-arm64)nethist_1.1.1.zip(r-4.6-x86_64)nethist_1.1.1.zip(r-4.6-arm64)
nethist_1.1.1.tar.gz(r-4.7-arm64)nethist_1.1.1.tar.gz(r-4.7-x86_64)nethist_1.1.1.tar.gz(r-4.6-arm64)nethist_1.1.1.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nethist/json (API)

# Install 'nethist' in R:

install.packages('nethist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/enigmasong/nethist/issues

Pkgdown/docs site:https://enigmasong.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

IndianVil - Indian Village socioeconomic networks
polblog - Political blog
polblog_edgelist - Political blog

On CRAN:

openblas cpp openmp

3.26 score 18 scripts 243 downloads 9 exports 57 dependencies

Last updated from:d20756c474. Checks:9 OK, 1 FAIL. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	194
linux-devel-x86_64	OK	204
source / vignettes	OK	295
linux-release-arm64	OK	188
linux-release-x86_64	OK	198
windows-devel-arm64	OK	296
windows-devel-x86_64	OK	215
windows-release-arm64	OK	285
windows-release-x86_64	OK	276
wasm-release	FAIL	120

Exports:covariate_plot hnethist multinethist nethist nethist_control netsummary_plot plot3d summary_plot violin_netsummary

Dependencies:brio callr cli commonmark cpp11 crayon curl desc diffobj evaluate farver fs ggplot2 ggtext glue gridtext gtable igraph isoband jpeg jsonlite labeling lattice lifecycle litedown magrittr markdown Matrix otel pkgbuild pkgconfig pkgload plyr png praise processx ps R6 RColorBrewer Rcpp RcppArmadillo RcppEigen reshape2 rlang rprojroot RSpectra S7 scales stringi stringr testthat vctrs viridisLite waldo withr xfun xml2

Introduction to nethist

Rendered fromexample.Rmdusingknitr::rmarkdown

Last update: 2026-09-02
Started: 2026-09-02

Citation

Readme and manuals

Help Manual

Help page	Topics
Bin summary by covariate	covariate_plot summary_plot
Fitted values for a multinethist model	fitted.multinethist
Fitted values for a nethist model	fitted.nethist
Hybrid Network histogram estimation	hnethist
Indian Village socioeconomic networks	IndianVil
Log-likelihood of network histogram fits	logLik.network_histogram
Network histogram estimation	multinethist
Network histogram estimation for single-layer networks	nethist
Control parameters for network histogram algorithms	nethist_control print.nethist_control
Network summary plots	netsummary_plot violin_netsummary
Network histogram class hierarchy	network_histogram-class
Plot an hnethist object	plot.hnethist
Network histogram plot	plot.multinethist
Network histogram plot	plot.nethist
3D histogram plot for nethist objects	plot3d plot3d.hnethist plot3d.multinethist plot3d.nethist
Political blog	polblog
Political blog (edgelist)	polblog_edgelist
Print nethist objects	print.hnethist print.multinethist print.nethist
Summarize network histogram fits	print.summary.network_histogram summary.hnethist summary.multinethist summary.network_histogram

Package: nethist 1.1.1

nethist: Network Histograms

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)