rmvnorm

Sigma

Cholesky factorization of <code>Sigma</code>

Sigma.chol

Simulates a matrix where the rows are i.i.d. samples from a multivariate
normal distribution

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.

rmvnorm: Simulation from a multivariate normal distribution

Description

Usage

Arguments

Value