(Open Archives Initiative Protocol for 'Metadata' Harvesting) service.
person("Michal", "Bojanowski", role = "aut")
Imports: methods, stats, utils, xml2 (>= 0.1.2), httr (>= 1.0.0), plyr

Suggests: roxygen2 (>= 5.0.1), DBI, knitr, RSQLite, testthat, covr

person("Michal", "Bojanowski", role = "aut",
comment="supported by NCN grant 2012/07/D/HS6/01971")
Suggests: roxygen2 (>= 6.1.1), DBI, knitr, RSQLite, testthat
Michal Bojanowski [aut] (supported by NCN grant 2012/07/D/HS6/01971)

Suggests: DBI, knitr, RSQLite, testthat, markdown

person("Michal", "Bojanowski", role = c("aut", "cre"),
person("National Science Centre", role = "fnd",
comment = "Supported MB through grant 2012/07/D/HS6/01971, <https://ncn.gov.pl>")
Suggests: DBI, knitr, RSQLite, testthat, markdown, covr
Michal Bojanowski [aut, cre] (<https://orcid.org/0000-0001-7503-852X>),
National Science Centre [fnd] (Supported MB through grant

Description: Functions and classes to create and manipulate trees and nodes.
Imports: bazar, foreach, purrr, R6, rlist, rstudioapi, stats

Imports: foreach, purrr, R6, rlang, rlist, rstudioapi, stats

Maintainer: P. T. Eendebak <pieter.eendebak@gmail.com>
Description: Interface to D-optimal design generation code of the Orthogonal Array package. Can generate D-optimal designs with specified number of runs and factors. The optimality of the designs is defined in terms of a user specified optimization function based on the D-efficiency and Ds-efficiency.
Packaged: 2015-06-17 15:08:10 UTC; eendebakpt

Packaged: 2015-06-18 13:35:03 UTC; eendebakpt

Maintainer: Pieter Thijs Eendebak <pieter.eendebak@gmail.com>
Packaged: 2015-06-19 15:50:59 UTC; eendebakpt

Packaged: 2015-07-12 20:20:22 UTC; eendebakpt

Title: Computation of the Orbit-Aware Quad Census
Authors@R: c(person("Mark", "Ortmann", email = "mark.ortmann@uni.kn", role = c("aut", "cre")),
person("Felix", "Schoenenberger", role = c("aut")))
Description: Implements the efficient algorithm by Ortmann and Brandes (2017)
<doi:10.1007/s41109-017-0027-2> to compute the orbit-aware frequency distribution of induced and non-induced quads, i.e. subgraphs of size four. Given an edge matrix, data frame, or a graph object (e.g., 'igraph'), the orbit-aware counts are computed respective each of the edges and nodes.