Analysis of dyadic network and relational data using additive and multiplicative effects (AME) models. The basic model includes regression terms, the covariance structure of the social relations model (Warner, Kenny and Stoto (1979), Wong (1982)), and multiplicative factor models (Hoff(2009)). Four different link functions accommodate different relational data structures, including binary/network data (bin), normal relational data (nrm), ordinal relational data (ord) and data from fixed-rank nomination schemes (frn). Several of these link functions are discussed in Hoff, Fosdick, Volfovsky and Stovel (2013). Development of this software was supported in part by NIH grant R01HD067509.
|Author||Peter Hoff, Bailey Fosdick, Alex Volfovsky, Yanjun He|
|Date of publication||2015-06-26 20:09:47|
|Maintainer||Peter Hoff <firstname.lastname@example.org>|
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
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...
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: Gibbs sampling of additive row and column effects and...
rbeta_ab_rep_fc: Gibbs sampling of additive row and column effects and...
rmvnorm: Simulation from a multivariate normal distribution
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...
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...
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...
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