Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a
variation of k nearest neighbors where the neighborhood is elongated
along class boundaries. This package implements dann and sub_dann from
Imports: MASS (>= 7.3), compiler (>= 3.5.3), stats (>= 3.5.3), tibble

Suggests: testthat (>= 2.0.1), knitr (>= 1.22), rmarkdown (>= 1.18),

variation of k nearest neighbors where the shape of the neighborhood is
data driven. This package implements dann and sub_dann from

Suggests: testthat (>= 3.0.0), knitr (>= 1.22), rmarkdown (>= 1.18),

Title: R Client for the Statistics Denmark Databank API
Description: The purpose of the package is to enable an R function interface into the Statistics Denmark Databank API mainly for research purposes.
The Statistics Denmark Databank API has four endpoints, see here for more information and testing the API in their console: <https://www.dst.dk/en/Statistik/statistikbanken/api>.
This package mimics the structure of the API and provides four main functions to match the functionality of the API endpoints.
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, purrr, dplyr, ggplot2,

The Statistics Denmark Databank API has four endpoints, see here for more information and testing the API in their console: <https://www.dst.dk/en/Statistik/brug-statistikken/muligheder-i-statistikbanken/api>.

Title: 'purrr'-Like Apply Functions Over Input Elements
Description: An easy-to-use, dependency-free set of functions for iterating over
elements of various input objects. Functions are wrappers around base
apply()/lapply()/vapply() functions but designed to have similar
functionality to the mapping functions in the 'purrr' package
<https://purrr.tidyverse.org/>. Specifically, function names more explicitly
communicate the expected class of the output and functions also allow for
the convenient shortcut of '~ .x' instead of the more verbose
Author: Michael W. Kearney [aut, cre] (<https://orcid.org/0000-0002-0730-4694>)
Maintainer: Michael W. Kearney <kearneymw@missouri.edu>