paramVertexOnlyGroup: Parameter estimation for Vertex model only for a list of...

In dnr: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

Description

Parameter estimation for Vertex model only for a list of dynamic networks.

Usage

paramVertexOnlyGroup(
  InputNetwork,
  VertexStatsvec = rep(1, nvertexstats),
  maxLag,
  VertexModelGroup = NA,
  VertexLag = rep(1, maxLag),
  VertexAttLag = rep(1, maxLag),
  VertexLagMatrix = matrix(1, maxLag, length(VertexStatsvec)),
  regMethod = "bayesglm"
)

Arguments

InputNetwork	Input network list.
VertexStatsvec	Binary vector of size 9, indicating vertex model.
maxLag	maximum lag.
VertexModelGroup	Group term for vertex model.
VertexLag	Binary vector of size maxLag, indicating Lag terms in the model.
VertexAttLag	Vertex group term lag vector.
VertexLagMatrix	Binary matrix indicating lagged vertex statistics in the model.
regMethod	one of "glm", "glmnet", "bayesglm"

Value

List of 3 elements:
VertexFit: Output from regEngine.
VertexStats: Subsetted vertex stats matrix.
VertexStatsFull: Full matrix of vertex stats.

Author(s)

Abhirup

Examples

nvertexstats <- 9
InputNetwork <- beach
maxLag <- 3
VertexStatsvec <- rep(1, nvertexstats)
VertexLag <- rep(1, maxLag)
regMethod <- "bayesglm"
VertexModelGroup <- "regular"
VertexLagMatrix <- matrix(0, maxLag, nvertexstats)
VertexLagMatrix[, c(4, 7)] <- 1
VertexLagMatrix[c(2,3),7] <- 0
Vout1 <- paramVertexOnlyGroup(InputNetwork = beach,
                          maxLag = maxLag,
                          VertexStatsvec = VertexStatsvec,
                          VertexModelGroup = VertexModelGroup,
                          VertexLag = VertexLag,
                          VertexLagMatrix = VertexLagMatrix)
summary(Vout1$VertexFit$fit)

dnr documentation built on Dec. 1, 2020, 1:07 a.m.