dnr (version 0.3.5)

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

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.

Examples

# NOT RUN {
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)
# }