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 |