YX_nrm

<p>a synthetic dataset that includes continuous (normal) relational data as
well as information on eight covariates</p>

datasets

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) <DOI:10.1037/0022-3514.37.10.1742>,
Wong (1982) <DOI:10.2307/2287296>), and multiplicative factor
models (Hoff(2009) <DOI:10.1007/s10588-008-9040-4>).
Several different link functions accommodate different
relational data structures, including binary/network data, normal
relational data, zero-inflated positive outcomes using a tobit model, ordinal relational data and data from
fixed-rank nomination schemes. Several of these link functions are
discussed in Hoff, Fosdick, Volfovsky and Stovel (2013)
<DOI:10.1017/nws.2013.17>. Development of this
software was supported in part by NIH grant R01HD067509.

Peter Hoff

amen

Additive and Multiplicative Effects Models for Networks and
Relational Data

Bailey Fosdick

Alex Volfovsky

Yanjun He

YX_nrm function

<p>The format is: List of 2 $ Y: num [1:100, 1:100] NA -4.05 -0.181
-3.053 -1.579 ...  $ X: num [1:100, 1:100, 1:8] 1 1 1 1 1 1 1 1 1 1 ...  ..-
attr(*, "dimnames")=List of 3 .. ..$ : NULL .. ..$ : NULL .. ..$ : chr [1:8]
"intercept" "rgpa" "rsmoke" "cgpa" ...</p>

Format

normal relational data and covariates — YX_nrm

normal relational data and covariates

YX_nrm: normal relational data and covariates

Description

Usage

Arguments

Format

Examples