Package: lolog
Maintainer: Ian E. Fellows <ian@fellstat.com>
License: MIT + file LICENCE
Title: Latent Order Logistic Graph Models
LinkingTo: Rcpp, BH
Type: Package
LazyLoad: yes
Authors@R: c(person(c("Ian","E."),"Fellows", role=c("aut","cre"), email="ian@fellstat.com"), person(c("Mark","S."),"Handcock", role="ctb"))
Description: Estimation of Latent Order Logistic (LOLOG) Models for Networks.
    LOLOGs are a flexible and fully general class of statistical graph models. 
    This package provides functions for performing MOM, GMM and variational 
    inference. Visual diagnostics and goodness of fit metrics are provided. 
    See Fellows (2018) <arXiv:1804.04583> for a detailed description of the methods.
Version: 1.2
Depends: R (>= 3.0.0), methods, Rcpp (>= 0.9.4)
Imports: network, parallel, ggplot2, reshape2, intergraph, Matrix
Suggests: testthat, inline, knitr, rmarkdown, ergm, BH, igraph
URL: https://github.com/statnet/lolog
RcppModules: lolog
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-01-11 01:00:25 UTC; ianfellows
Author: Ian E. Fellows [aut, cre],
  Mark S. Handcock [ctb]
Repository: CRAN
Date/Publication: 2019-01-12 22:52:41 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-12 22:05:38 UTC; windows
Archs: i386, x64
