Package: ernm 1.0.5

ernm: Exponential-Family Random Network Models

Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.

Authors:Ian Fellows [aut], Duncan Clark [aut, cre]

ernm_1.0.5.tar.gz
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ernm_1.0.5.tgz(r-4.6-x86_64)ernm_1.0.5.tgz(r-4.6-arm64)ernm_1.0.5.tgz(r-4.5-x86_64)ernm_1.0.5.tgz(r-4.5-arm64)
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ernm_1.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ernm/json (API)

# Install 'ernm' in R:

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

Bug tracker:https://github.com/duncan-clark/ernm/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

dutch_school - Dutch School Data
samplike - Sampson's Monks Data

On CRAN:

cpp

3.70 score 25 scripts 375 downloads 46 exports 38 dependencies

Last updated from:c5090b8f92. Checks:4 NOTE, 11 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	220
linux-devel-x86_64	NOTE	266
source / vignettes	OK	440
linux-release-arm64	OK	259
linux-release-x86_64	OK	234
macos-release-arm64	OK	309
macos-release-x86_64	OK	430
macos-oldrel-arm64	OK	329
macos-oldrel-x86_64	OK	424
windows-devel-arm64	NOTE	445
windows-devel-x86_64	NOTE	335
windows-release-arm64	OK	458
windows-release-x86_64	OK	296
windows-oldrel-x86_64	OK	282
wasm-release	OK	161

Exports:_ernm_initStats _ernm_initToggles _rcpp_module_boot_ernm as.BinaryNet as.network.Rcpp_DirectedNet as.network.Rcpp_UndirectedNet calculateStatistics coef.ernm createCppModel createCppSampler DirectedMetropolisHastings DirectedModel DirectedNet DirectedTaperedModel ernm ernm_gof ernmFit ernmPackageSkeleton fullErnmLikelihood FullErnmModel initLatent logLik.ernm marErnmLikelihood mcmcEss mcmcse MissingErnmModel plot.ernm plot.Rcpp_DirectedNet plot.Rcpp_UndirectedNet print.ernm print.ErnmSummary register_rcpp_net_methods registerDirectedStatistic registerUndirectedStatistic runErnmCppTests simulateStatistics summary.ernm taperedErnmLikelihood UndirectedCdSampler UndirectedGibbsCdSampler UndirectedGibbsCdSampler2 UndirectedMetropolisHastings UndirectedModel UndirectedNet UndirectedTaperedModel vcov.ernm

Dependencies:BH cli coda cpp11 dplyr farver generics ggplot2 glue gtable isoband labeling lattice lifecycle magrittr Matrix moments network pillar pkgconfig purrr R6 RColorBrewer Rcpp rlang S7 scales statnet.common stringi stringr tibble tidyr tidyselect trust utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Convert an Rcpp_UndirectedNet to a network object	as.BinaryNet as.network.Rcpp_DirectedNet as.network.Rcpp_UndirectedNet BinaryNet DirectedNet plot.Rcpp_DirectedNet plot.Rcpp_UndirectedNet Rcpp_DirectedNet-class Rcpp_UndirectedNet-class UndirectedNet
Calculate network statistics	calculateStatistics
Access ERNM parameters	coef.ernm
Creates a C++ representation of an ERNM model	createCppModel
Create a C++ MCMC sampler	createCppSampler
DirectedNet class	DirectedNet-class
Dutch School Data	dutch_school
Fits an ERNM model	ernm
Goodness of fit for ERNM model	ernm_gof
ERNM formula	ernm-formula
ERNM model terms	ernm-terms
Fit an ernm	ernmFit
Create an ERNM package skeleton	ernmPackageSkeleton
Subsetting and assignment for ernm network objects	extract-methods [,DirectedNet-method [,Rcpp_DirectedNet-method [,Rcpp_UndirectedNet-method [,UndirectedNet-method [<-,DirectedNet-method [<-,Rcpp_DirectedNet-method [<-,Rcpp_UndirectedNet-method [<-,UndirectedNet-method
Likelihood for a fully observed ernm	fullErnmLikelihood
creates an ERNM likelihood model	FullErnmModel
MCMC approximate log-likelihood	logLik.ernm
Likelihood for an ernm with missing data	marErnmLikelihood
MCMC effective sample size	mcmcEss
MCMC standard error by batch	mcmcse
Creates an ERNM likelihood model with missing data	MissingErnmModel
Plot an ernm object	plot.ernm
Print ernm object	print.ernm
Print a ERNM summary object	print.ErnmSummary
Sampson's Monks Data	samplike sampson
Simulate statistics	simulateStatistics
Summary for ernm object	summary.ernm
Ernm likelihood for a TaperedModel	taperedErnmLikelihood
UndirectedNet class	UndirectedNet-class
Parameter covariance matrix	vcov.ernm