simY_rrl

a square matrix giving the expected value of the latent Z matrix

a scalar or vector giving the observed number of nominations
for each node

odobs

a square matrix identifying where missing values should be
maintained

Simulate an relational matrix based on a relative rank nomination scheme

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.

simY_rrl: Simulate an relational matrix based on a relative rank nomination scheme

Description

Usage

Arguments

Value