Package: ergMargins 1.6.2

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_1.6.2.tar.gz
ergMargins_1.6.2.zip(r-4.7-any)ergMargins_1.6.2.zip(r-4.6-any)ergMargins_1.6.2.zip(r-4.5-any)
ergMargins_1.6.2.tgz(r-4.6-any)ergMargins_1.6.2.tgz(r-4.5-any)
ergMargins_1.6.2.tar.gz(r-4.7-any)ergMargins_1.6.2.tar.gz(r-4.6-any)
ergMargins_1.6.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ergMargins/json (API)

# 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.

1.48 score 1 packages 10 scripts 545 downloads 9 exports 54 dependencies

Last updated from:35850002d0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK152
source / vignettesOK186
linux-releaseOK147
macos-releaseOK190
macos-oldrelOK170
windows-develOK90
windows-releaseOK118
windows-oldrelOK94
wasm-releaseOK103

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

Dependencies:bitopsbootbtergmcachemcaToolsclicodacpp11DEoptimRdplyrergmevaluatefastmapgenericsgluegplotsgtoolshighrigraphKernSmoothknitrlatticelifecyclelpSolvelpSolveAPImagrittrMASSMatrixmemoisenetworknumDerivpillarpkgconfigpurrrR6rbibutilsRdpackrlangrlerobustbaseROCRsamplingsnastatnet.commonstringistringrtibbletidyselecttrustutf8vctrswithrxfunyaml