Discrete splines are a class of univariate piecewise polynomial
    functions which are analogous to splines, but whose smoothness is defined
    via divided differences rather than derivatives. Tools for efficient
    computations relating to discrete splines are provided here. These tools
    include discrete differentiation and integration, various matrix
    computations with discrete derivative or discrete spline bases matrices, and
    interpolation within discrete spline spaces. These techniques are described
    in Tibshirani (2020) <doi:10.48550/arXiv.2003.03886>.

You can retrieve 'Spotify' API Information such as artists, albums, tracks, features tracks, recommendations or related artists.
    This package allows you to search all the information by name and also includes a distance based algorithm to find similar songs.
	More information: <https://developer.spotify.com/documentation/web-api/> .

Tools for wrapping 'DataSHIELD' analyses into RO-Crate 
    (Research Object Crate) objects. Provides functions to create structured
    metadata for federated data analysis projects, enabling governance 
    tracking of data access, project membership, analysis execution and 
    output validation across distributed data sources.

Perform a test of a simple null hypothesis about a 
    directly standardized rate and obtain the matching confidence 
    interval using a choice of methods.

The purpose of this package is to provide a comprehensive
    R interface to the Decision Support System for Agrotechnology
    Transfer Cropping Systems Model (DSSAT-CSM; see <https://dssat.net> for more information).
    The package provides cross-platform functions to read and
    write input files, run DSSAT-CSM, and read output files.

Creates survey designs for distance sampling surveys. These
    designs can be assessed for various effort and coverage statistics.
    Once the user is satisfied with the design characteristics they can 
    generate a set of transects to use in their distance sampling survey.
    Many of the designs implemented in this R package were first made 
    available in our 'Distance' for Windows software and are detailed in 
    Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, 
    ISBN-13: 978-0199225873). Find out more about estimating animal/plant 
    abundance with distance sampling at <https://distancesampling.org/>.