Additive and Multiplicative Effects Models for Networks and Relational Data

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Documentation for package ‘amen’ version 1.4.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

amen-package	Additive and Multiplicative Effects Models for Networks and Relational Data
addhealthc3	AddHealth community 3 data
addhealthc9	AddHealth community 9 data
addlines	Add lines
ame	AME model fitting routine
amen	Additive and Multiplicative Effects Models for Networks and Relational Data
ame_rep	AME model fitting routine for replicated relational data
circplot	Circular network plot
coldwar	Cold War data
comtrade	Comtrade data
design_array	Computes the design socioarray of covariate values
dutchcollege	Dutch college data
el2sm	Edgelist to sociomatrix
gofstats	Goodness of fit statistics
IR90s	International relations in the 90s
lazegalaw	Lazega's law firm data
ldZgbme	log density for GBME models
llsrmRho	SRM log likelihood evaluated on a grid of rho-values
mhalf	Symmetric square root of a matrix
netplot	Network plotting
plot.ame	Plot results of an AME object
precomputeX	Precomputation of design matrix quantities.
raSab_bin_fc	Simulate a and Sab from full conditional distributions under bin likelihood
raSab_cbin_fc	Simulate a and Sab from full conditional distributions under the cbin likelihood
raSab_frn_fc	Simulate a and Sab from full conditional distributions under frn likelihood
rbeta_ab_fc	Conditional simulation of additive effects and regression coefficients
rbeta_ab_rep_fc	Gibbs sampling of additive row and column effects and regression coefficient with independent replicate relational data
rmvnorm	Simulation from a multivariate normal distribution
rrho_fc	Griddy Gibbs update for dyadic correlation
rrho_mh	Metropolis update for dyadic correlation
rrho_mh_rep	Metropolis update for dyadic correlation with independent replicate data
rs2_fc	Gibbs update for dyadic variance
rs2_rep_fc	Gibbs update for dyadic variance with independent replicate relational data
rSab_fc	Gibbs update for additive effects covariance
rSuv_fc	Gibbs update for multiplicative effects covariance
rUV_fc	Gibbs sampling of U and V
rUV_rep_fc	Gibbs sampling of U and V
rUV_sym_fc	Gibbs sampling of U and V
rwish	Simulation from a Wishart distribution
rZ_bin_fc	Simulate Z based on a probit model
rZ_cbin_fc	Simulate Z given fixed rank nomination data
rZ_frn_fc	Simulate Z given fixed rank nomination data
rZ_nrm_fc	Simulate missing values in a normal AME model
rZ_ord_fc	Simulate Z given the partial ranks
rZ_rrl_fc	Simulate Z given relative rank nomination data
rZ_tob_fc	Simulate Z based on a tobit model
sampsonmonks	Sampson's monastery data
sheep	Sheep dominance data
simY_bin	Simulate a network, i.e. a binary relational matrix
simY_frn	Simulate an relational matrix based on a fixed rank nomination scheme
simY_nrm	Simulate a normal relational matrix
simY_ord	Simulate an ordinal relational matrix
simY_rrl	Simulate an relational matrix based on a relative rank nomination scheme
simY_tob	Simulate a tobit relational matrix
simZ	Simulate Z given its expectation and covariance
sm2el	Sociomatrix to edgelist
summary.ame	Summary of an AME object
Xbeta	Linear combinations of submatrices of an array
xnet	Network embedding
YX_bin	binary relational data and covariates
YX_bin_long	binary relational data and covariates
YX_cbin	Censored binary nomination data and covariates
YX_frn	Fixed rank nomination data and covariates
YX_nrm	normal relational data and covariates
YX_ord	ordinal relational data and covariates
YX_rrl	row-specific ordinal relational data and covariates
zscores	rank-based z-scores