Calculating Marginal Effects and Levels with Errors
c(
person("Alex", "Gold", email = "alex.k.gold@gmail.com", role = "aut"),
person("Nat", "Olin", email = "nathaniel.olin@gmail.com", role = c("ctb")),
person("Annie", "Wang", email = "anniejw6@gmail.com", role = c("aut", "cre"))
)
Calculate predicted levels and marginal effects from 'glm' objects,
using the delta method to calculate standard errors. This is an R-based
version of the 'margins' command from Stata.
Alex Gold [aut],
Nat Olin [ctb],
Annie Wang [aut, cre]

c(
person("Alex", "Gold", email = "alex.k.gold@gmail.com", role = "aut"),
person("Nat", "Olin", email = "nathaniel.olin@gmail.com", role = "aut"),
person("Annie", "Wang", email = "anniejw6@gmail.com", role = c("aut", "cre"))
)
Calculate predicted levels and marginal effects,
using the delta method to calculate standard errors. This is an R-based
version of the 'margins' command from Stata.
knitr, rmarkdown, testthat, sandwich, AER
Alex Gold [aut],
Nat Olin [aut],
Annie Wang [aut, cre]

person(given = "Trevor",
family = "Swanson",
role = c("aut", "cre"),
email = "trevorswanson222@gmail.com")
Methods for modeling moderator variables in cross-sectional, temporal, and multi-level networks. Includes model selection techniques and a variety of plotting functions. Implements the methods described by Swanson (2020) <https://www.proquest.com/openview/d151ab6b93ad47e3f0d5e59d7b6fd3d3>.
abind, corpcor, ggplot2, glinternet, glmnet, gridExtra,
gtools, igraph, interactionTest, leaps, lme4, lmerTest, Matrix,
methods, mvtnorm, parallel, pbapply, plyr, psych, qgraph,
reshape2, systemfit

'MatLab'-Style Modeling of Optimization Problems
c(
person("Ronald", "Hochreiter", email = "ron@hochreiter.net",
role = c("aut", "cre")))
'MatLab'-Style Modeling of Optimization Problems with 'R'. This package provides a set of convenience functions to transform a 'MatLab'-style optimization modeling structure to its 'ROI' equivalent.
R (>= 3.4), ROI, ROI.plugin.glpk, ROI.plugin.quadprog

Peter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu>
R (>= 2.3.0), stats, impute, grDevices, dynamicTreeCut
Methods for color labeling, calculation of eigengenes, merging of closely related modules.