Package: mcgraph
Title: Data Generation for Graph Reconstruction Using Monte Carlo
        Sampling
Description: Create various graph types and generate synthetic data using a simple Monte Carlo sampling approach. Sampling can be based on defined input graphs, either directed, undirected, with and without weights or on given data. Additionally, functions for graph reconstruction, assessment of graph reconstructs and graph visualization are provided. At the moment, we mainly concentrate on small to medium sized graphs up until around approximately 1000 nodes for which the runtimes of the functions should be in a reasonable range.
Version: 0.5.0
Authors@R: c(
    person(given = "Detlef",
           family = "Groth",
           role = c("aut", "cre"),
           comment=c(ORCID = "0000-0002-3441-3978"),
           email = "dgroth@uni-potsdam.de"),
    person(given = "Masiar",
           family = "Novine",
           role = "aut",
           comment = c(ORCID = "0000-0001-9687-8675"),
           email = "novinefarahb@uni-potsdam.de")
    )
Maintainer: Detlef Groth <dgroth@uni-potsdam.de>
Depends: R (>= 3.5.0), MASS, rpart, Rcpp (>= 0.11.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, glmnet
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-01-31 13:47:48 UTC; masiarnovine
Author: Detlef Groth [aut, cre] (<https://orcid.org/0000-0002-3441-3978>),
  Masiar Novine [aut] (<https://orcid.org/0000-0001-9687-8675>)
