Xbeta

beta

Computes a matrix of expected values based on an array X of predictors and a
vector beta of regression coefficients.

Analysis of dyadic network and relational data using additive and
multiplicative effects (AME) models. The basic model includes
regression terms, the covariance structure of the social relations model
(Warner, Kenny and Stoto (1979), Wong (1982)), and multiplicative factor
models (Hoff(2009)). Four different link functions accommodate different
relational data structures, including binary/network data (bin), normal
relational data (nrm), ordinal relational data (ord) and data from
fixed-rank nomination schemes (frn).  Several of these link functions are
discussed in Hoff, Fosdick, Volfovsky and Stovel (2013). Development of this
software was supported in part by NIH grant R01HD067509.

Peter D Hoff

Xbeta: Linear combinations of submatrices of an array

Description

Usage

Arguments

Value