Package: ergMargins 1.6.1

ergMargins: Process Analysis for Exponential Random Graph Models

Calculates marginal effects and conducts process analysis in exponential family random graph models (ERGM). Includes functions to conduct mediation and moderation analyses and to diagnose multicollinearity. URL: <https://github.com/sduxbury/ergMargins>. BugReports: <https://github.com/sduxbury/ergMargins/issues>. Duxbury, Scott W (2021) <doi:10.1177/0049124120986178>. Long, J. Scott, and Sarah Mustillo (2018) <doi:10.1177/0049124118799374>. Mize, Trenton D. (2019) <doi:10.15195/v6.a4>. Karlson, Kristian Bernt, Anders Holm, and Richard Breen (2012) <doi:10.1177/0081175012444861>. Duxbury, Scott W (2018) <doi:10.1177/0049124118782543>. Duxbury, Scott W, Jenna Wertsching (2023) <doi:10.1016/j.socnet.2023.02.003>. Huang, Peng, Carter Butts (2023) <doi:10.1016/j.socnet.2023.07.001>.

Authors:Scott Duxbury [aut, cre, cph]

ergMargins_1.6.1.tar.gz
ergMargins_1.6.1.zip(r-4.7)ergMargins_1.6.1.zip(r-4.6)ergMargins_1.6.1.zip(r-4.5)
ergMargins_1.6.1.tgz(r-4.6-any)ergMargins_1.6.1.tgz(r-4.5-any)
ergMargins_1.6.1.tar.gz(r-4.7-any)ergMargins_1.6.1.tar.gz(r-4.6-any)
ergMargins_1.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ergMargins/json (API)
NEWS

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

On CRAN:

Conda:

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

1.78 score 1 packages 4 scripts 617 downloads 9 exports 54 dependencies

Last updated from:ac3cbc1461. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK199
source / vignettesOK193
linux-release-x86_64OK159
macos-release-arm64OK160
macos-oldrel-arm64OK202
windows-develOK122
windows-releaseOK129
windows-oldrelOK114
wasm-releaseOK119

Exports:edge.prob2ergm.AMEergm.MEMergm.mmaergm.mod.mmaergm.MSEergm.msmaGW_helpervif.ergm

Dependencies:bitopsbootbtergmcachemcaToolsclicodacpp11DEoptimRdplyrergmevaluatefastmapgenericsgluegplotsgtoolshighrigraphKernSmoothknitrlatticelifecyclelpSolvelpSolveAPImagrittrMASSMatrixmemoisenetworknumDerivpillarpkgconfigpurrrR6rbibutilsRdpackrlangrlerobustbaseROCRsamplingsnastatnet.commonstringistringrtibbletidyselecttrustutf8vctrswithrxfunyaml