| addhealthc3 | AddHealth community 3 data |
| addhealthc9 | AddHealth community 9 data |
| addlines | Add lines |
| ame | AME model fitting routine |
| amen-package | Additive and Multiplicative Effects Models for Networks and... |
| 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... |
| raSab_cbin_fc | Simulate a and Sab from full conditional distributions under... |
| raSab_frn_fc | Simulate a and Sab from full conditional distributions under... |
| rbeta_ab_fc | Conditional simulation of additive effects and regression... |
| rbeta_ab_rep_fc | Gibbs sampling of additive row and column effects and... |
| 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... |
| rs2_fc | Gibbs update for dyadic variance |
| rs2_rep_fc | Gibbs update for dyadic variance with independent replicate... |
| 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... |
| 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... |
| 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 |
