Package: NetMix
Type: Package
Title: Dynamic Mixed-Membership Network Regression Model
Version: 0.2.0
Date: 2021-03-01
Encoding: UTF-8
Author: Santiago Olivella [aut, cre],
  Adeline Lo [aut, cre],
	Tyler Pratt [aut, cre],
	Kosuke Imai [aut, cre]
Maintainer: Santiago Olivella <olivella@unc.edu>
Description: Stochastic collapsed variational inference on mixed-membership stochastic blockmodel for networks,
             incorporating node-level predictors of mixed-membership vectors, as well as 
             dyad-level predictors. For networks observed over time, the model defines a hidden
             Markov process that allows the effects of node-level predictors to evolve in discrete,
             historical periods. In addition, the package offers a variety of utilities for 
             exploring results of estimation, including tools for conducting posterior 
             predictive checks of goodness-of-fit and several plotting functions. The package 
             implements methods described in Olivella, Pratt and Imai (2019) 'Dynamic Stochastic
             Blockmodel Regression for Social Networks: Application to International Conflicts',
             available at <https://www.santiagoolivella.info/pdfs/socnet.pdf>.
BugReports: https://github.com/solivella/NetMix/issues
NeedsCompilation: yes
License: GPL (>= 2)
Depends: R (>= 3.5.0)
SystemRequirements: C++11
Suggests: ergm (>= 3.9.4), ggplot2 (>= 3.1.1), network (>= 1.13),
        scales (>= 1.0.0)
Imports: clue (>= 0.3-58), graphics (>= 3.5.2), grDevices (>= 3.5.2),
        gtools (>= 3.8.1), igraph (>= 1.2.4.1), lda (>= 1.4.2), Matrix
        (>= 1.2-15), MASS (>= 7.3-51.4), methods (>= 3.5.2), poisbinom
        (>= 1.0.1), Rcpp (>= 1.0.2), stats (>= 3.5.2), utils (>= 3.5.2)
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
Packaged: 2021-03-01 15:00:18 UTC; olivella
Repository: CRAN
Date/Publication: 2021-03-01 17:40:08 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2021-03-04 12:20:05 UTC; unix
Archs: NetMix.so.dSYM
