Designed to query Longitudinal Employer-Household Dynamics (LEHD) 
    workplace/residential association and origin-destination flat files and 
    optionally aggregate Census block-level data to block group, tract, county, 
    or state. Data comes from the LODES FTP server <https://lehd.ces.census.gov/data/lodes/LODES8/>.

Miscellaneous R functions (for graphics, data import, 
    data transformation, and general utilities) and templates (for exploratory 
    analysis, Bayesian modeling, and crafting scientific manuscripts).

Implements the 'Python leidenalg' module to be called in R.
    Enables clustering using the leiden algorithm for partition a graph into communities.
    See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg>
    Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.

An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.

An R to C/C++ interface that runs the Leiden community
    detection algorithm to find a basic partition (). It runs the
    equivalent of the 'leidenalg' find_partition() function, which is
    given in the 'leidenalg' distribution file
    'leiden/src/functions.py'. This package includes the
    required source code files from the official 'leidenalg'
    distribution and functions from the R 'igraph'
    package.  The 'leidenalg' distribution is available from
    <https://github.com/vtraag/leidenalg/>
    and the R 'igraph' package is available from
    <https://igraph.org/r/>.
    The Leiden algorithm is described in the article by
    Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>.
    Leidenbase includes code from the packages:
       igraph version 0.9.8 with license GPL (>= 2),
       leidenalg version 0.8.10 with license GPL 3.