commonmark, crul, desc, gert, gh, jsonlite (>= 1.6), magrittr,
memoise, methods, pingr, purrr, remotes, sessioninfo, stats,
urltools, xml2, cli, codemeta

Generation of Code Names for Organizations, People, Projects,
and Whatever Else
person("Steve", "Miller",
email = "steven.v.miller@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-4072-6263"))
This creates code names that a user can consider for their organizations, their projects, themselves, people
in their organizations or projects, or whatever else. The user can also supply a numeric seed (and even a character seed)
for maximum reproducibility. Use is simple and the code names produced come in various types too, contingent on what the
user may be desiring as a code name or nickname.

Guillaume Guenard, with contributions from Bertrand Pages
Computation of Multiscale Codependence Analysis and
Moran's eigenvector maps (mem), as an additional feature.

Guillaume Guenard and Pierre Legendre, with contributions from Bertrand Pages
Computation of Multiscale Codependence Analysis and spatial eigenvector maps, as an additional feature.

Computation of Multiscale Codependence Analysis and spatial eigenvector maps, as an additional feature. Early development version.

Guillaume Guenard and Pierre Legendre, Bertrand Pages
R (>= 3.0.0), grDevices, graphics, stats, parallel

Deterministic Categorization of Items Based on External Code
Data
c(
person("Erik", "Bulow", email = "eriklgb@gmail.com",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9973-456X")),
person("Emely C", "Zabore", role = "rev",
comment = "Emily reviewed the package (v. 0.12.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/381>"),
person("David", "Robinson", role = "rev",
comment = "David reviewed the package (v. 0.12.1) for rOpenSci, see <https://github.com/ropensci/software-review/issues/381>")
)
Fast categorization of items based on external code data identified by
regular expressions. A typical use case considers patient with medically coded
data, such as codes from the International Classification of Diseases ('ICD') or
the Anatomic Therapeutic Chemical ('ATC') classification system.
Functions of the package relies on a triad of objects: (1) case data with unit
id:s and possible dates of interest; (2) external code data for corresponding
units in (1) and with optional dates of interest and; (3) a classification
scheme ('classcodes' object) with regular expressions to identify and
categorize relevant codes from (2).
It is easy to introduce new classification schemes ('classcodes' objects) or
to use default schemes included in the package. Use cases includes patient
categorization based on 'comorbidity indices' such as 'Charlson', 'Elixhauser',
'RxRisk V', or the 'comorbidity-polypharmacy' score (CPS), as well as adverse
events after hip and knee replacement surgery.
covr, testthat, knitr, rmarkdown, writexl
data.table, decoder, generics, methods, tibble
Erik Bulow [aut, cre] (<https://orcid.org/0000-0002-9973-456X>),
Emely C Zabore [rev] (Emily reviewed the package (v. 0.12.1) for
rOpenSci, see
<https://github.com/ropensci/software-review/issues/381>),
David Robinson [rev] (David reviewed the package (v. 0.12.1) for
rOpenSci, see
<https://github.com/ropensci/software-review/issues/381>)