Xbeta                   Linear combinations of submatrices of an array
YX_bin                  binary relational 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
ame_bin                 AME fit for binary relational data
ame_cbin                AME fit for censored binary nomination data
ame_frn                 AME fit for fixed rank nomination data
ame_nrm                 AME fit for normal relational data
ame_ord                 AME fit for ordinal relational data
ame_rrl                 AME fit for relative rank nomination data
amen-package            Additive and multiplicative effects modeling of
                        networks and relational data
lfcplot                 Latent factor circle plot
mhalf                   Symmetric square root of a matrix
plot.ame                Plot results of an AME object
probit_start            Starting values for probit SRM
rUV_fc                  Gibbs sampling of U and V
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_ord_fc               Simulate Z given the partial ranks
rZ_rrl_fc               Simulate Z given relative rank nomination data
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
rmvnorm                 Simulation from a multivariate normal
                        distribution
rrho_mh                 Metropolis update for dyadic correlation
rs2_fc                  Gibbs update for dyadic variance
rwish                   Simulation from a Wishart distribution
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
summary.ame             Summary of an AME object
t_degree                Degree distribution
t_recip                 Reciprocity statistic
t_trans                 Transitivity statistic
