# Additive and Multiplicative Effects Models for Networks and Relational Data

## Documentation for package ‘amen’ version 1.1

- 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
mhalf | Symmetric square root of a matrix
netplot | Network plotting
plot.ame | Plot results of an AME object
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 | Gibbs sampling of additive row and column effects and regression coefficient
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_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
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
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
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