Converts results from the 'manymome' package,
  presented in Cheung and Cheung (2023)
  <doi:10.3758/s13428-023-02224-z>, to publication-ready
  tables.

Many tools for making, modifying, marking, measuring, 
   and motifs and memberships of many different types of networks.
   All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects,
   on directed, multiplex, multimodal, signed, and other networks.
   The package includes functions for importing and exporting, creating and generating networks,
   modifying networks and node and tie attributes,
   and describing networks with sensible defaults.

Comprehensively identifying states and state-like actors is difficult.
    This package provides data on states and state-like entities in the international system across time.
    The package combines and cross-references several existing datasets consistent with the aims and functions of the manydata package.
    It also includes functions for identifying state references in text, and for generating fictional state names.

Performs the multiple testing procedures of Cox (2011) <doi:10.5170/CERN-2011-006> and Wong and Cox (2007) <doi:10.1080/02664760701240014>.

A set of evolutionary algorithms to solve many-objective optimization. 
    Hybridization between the algorithms are also facilitated. Available algorithms are:
    'SMS-EMOA' <doi:10.1016/j.ejor.2006.08.008>
    'NSGA-III' <doi:10.1109/TEVC.2013.2281535>
    'MO-CMA-ES' <doi:10.1145/1830483.1830573>
    The following many-objective benchmark problems are also provided: 
    'DTLZ1'-'DTLZ4' from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and
    'WFG4'-'WFG9' from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.

Matrix is an universal and sometimes primary object/unit in applied mathematics and statistics. We provide a number of algorithms for selected problems in optimization and statistical inference. For general exposition to the topic with focus on statistical context, see the book by Banerjee and Roy (2014, ISBN:9781420095388).