Imports: magrittr (>= 1.5), dplyr (>= 0.7.4), rlang, utils, stats,
person("Sandro", "Petrillo Burri", email = "gibo.gaf@gmail.com", role = c("aut", "cre")))
Author: Sandro Petrillo Burri [aut, cre]

Title: Distance Object Manipulation Tools
person("Zachary", "Colburn", email = "zcolburn@gmail.com", role = c("aut", "cre")),
person("Madigan Army Medical Center - Department of Clinical Investigation", email = "usarmy.jblm.medcom-mamc.mbx.dci@mail.mil", role = c("cph", "fnd"))
Description: Provides convenient methods for accessing the data in 'dist' objects with minimal memory and computational overhead. 'disttools' can be used to extract the distance between any pair or combination of points encoded by a 'dist' object using only the indices of those points. This is an improvement over existing functionality, which requires either coercing a 'dist' object into a matrix or calculating the one dimensional index corresponding to a pair of observations. Coercion to a matrix is undesirable because doing so doubles the amount of memory required for storage. In contrast, there is no inherent downside to the latter solution. However, in part due to several edge cases, correctly and efficiently implementing such a solution can be challenging. 'disttools' abstracts away these challenges and provides a simple interface to access the data in a 'dist' object using the latter approach.
Madigan Army Medical Center - Department of Clinical Investigation

Title: A Test Environment for Database Requests
comment = "reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366"),
comment = "reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366")
Description: Testing and documenting code that communicates with remote
databases can be painful. Although the interaction with R is usually relatively
simple (e.g. data(frames) passed to and from a database), because they rely on
a separate service and the data there, testing them can be difficult to set up,
unsustainable in a continuous integration environment, or impossible without
replicating an entire production cluster. This package addresses that by
allowing you to make recordings from your database interactions and then play
them back while testing (or in other contexts) all without needing to spin up
or have access to the database your code would typically connect to.
Imports: digest, glue, methods, testthat, utils
Suggests: callr, covr, dplyr, dbplyr, knitr, nycflights13, odbc,
RMariaDB, RPostgres, RPostgreSQL, RSQLite, spelling, withr,
'mock-db.R' 'nycflights13-sql.R' 'paths.R' 'quote.R' 'redact.R'
Author: Jonathan Keane [aut, cre] (<https://orcid.org/0000-0001-7087-9776>),
Helen Miller [rev] (reviewed the package for rOpenSci, see
Etienne Racine [rev] (reviewed the package for rOpenSci, see