mgame: Multi Group AME model

In djgriffin13/isNet: Multi-Group Additive Multiplicitive Effects Models for Network Selection Processes

Multi Group AME model

Description

This function runs the ame amen::ame() model for a multi group setting. See amen documentation for complete list of parameters. It also calculates fit statistics and variance explained by the model.

Usage

mgame(
  data,
  Y,
  group,
  Xdyad = NULL,
  Xego = NULL,
  Xalter = NULL,
  family,
  R = 0,
  rvar = !(family == "rrl"),
  cvar = TRUE,
  dcor = !symmetric,
  nvar = TRUE,
  intercept = !is.element(family, c("rrl", "ord")),
  symmetric = FALSE,
  seed = 1,
  nscan = 5000,
  burn = 500,
  odens = 25,
  odmax_grand = NULL,
  modelFitTest = TRUE,
  nullModel = TRUE,
  gof = TRUE,
  prior = list(),
  verboseOutput = FALSE,
  makePlot = FALSE,
  group_standard = NULL,
  grand_standard = NULL
)

Arguments

data	a data frame in person parwise structure
Y	a dyadic outcome variable of interest
Xego	an individual level anticedent for the ego node
Xalter	an individual level anticedent for the alter node
family	set to "nrm" for weighted dyadic outcom and "bin" for unweighted outcome values. See ame documentation for more information.
modelFitTest	weather to run fit test models
nullModel	whether to run a null_model with only random additive and multiplicitive effects to calculate unique varinace explained by fixed effects.
verboseOutput	print ame model out put or not
makePlot	generate plots as models are running or not
group_standard	a list of strings corrisponding to columns in data to be group-standardized
grand_standard	a list of strings corrisponding to columns in data to be grand-standardized
...	See amen::ame() for details

Value

An object of the class "ame_mg" which records the posterior distribution

djgriffin13/isNet documentation built on May 31, 2022, 2:58 p.m.