BuildX: Build a dyadic covariate matrix (X)
In epinet: Epidemic/Network-Related Tools

Description Usage Arguments Value Author(s) See Also Examples

Build a dyadic covariate matrix (X) from a given nodal covariate matrix.

1 2	BuildX(nodecov, unaryCol = NULL, unaryFunc = NULL, binaryCol = NULL, binaryFunc = NULL, includeIntercept = TRUE)

`nodecov`	an N x k matrix where N is the number of nodes, column 1 is the node id and columns 2:k are covariate values for the node
`unaryCol`	a vector of column indices
`unaryFunc`	a vector of the same length as unaryCol of method names for comparing dyads. Possible method names are "match" and "absdiff"
`binaryCol`	a list of 2 element vectors of column indices
`binaryFunc`	a vector of the same length as binaryCol of method names for comparing dyads. Possible method names are "euclidean" and "manhattan"
`includeIntercept`	logical. If TRUE, includes a column of all ones. Defaults to TRUE

A dyadic covariate matrix with (N choose 2) rows, columns 1 and 2 are node ids, column 3 is all ones (if requested) and then one column for each given element of unaryCol and binaryCol.

Assigns colnames depending on type of unaryFunc and binaryFunc and colnames of nodecov.

David Welch david.welch@auckland.ac.nz, Chris Groendyke cgroendyke@gmail.com

SimulateDyadicLinearERGM for simulating a contact network based on a dyadic covairate matrix, and epinet for performing inference on the network and epidemic model parameters.

# make some nodal covariates
set.seed(3)
mycov = data.frame(id = 1:5, xpos = rnorm(5), ypos = rnorm(5), 
	house = c(1, 1, 2, 2, 2), gender = c(0, 0, 0, 1, 1))
# make matrix 
dyadCov = BuildX(mycov, unaryCol = c(4, 5), unaryFunc = c("match", "match"), 
	binaryCol = list(c(2, 3)), binaryFunc = "euclidean")