The n-vector framework uses the normal vector to
    the Earth ellipsoid (called n-vector) as a non-singular position
    representation that turns out to be very convenient for practical
    position calculations.  The n-vector is simple to use and gives exact
    answers for all global positions, and all distances, for both
    ellipsoidal and spherical Earth models.  This package is a translation
    of the 'Matlab' library from FFI, the Norwegian Defence Research
    Establishment, as described in Gade (2010)
    <doi:10.1017/S0373463309990415>.

Functions for working with (grouped) multivariate normal variance mixture
  distributions (evaluation of distribution functions and densities,
  random number generation and parameter estimation), including
  Student's t distribution for non-integer degrees-of-freedom as well as the grouped t
  distribution and copula with multiple degrees-of-freedom parameters.
  See <doi:10.18637/jss.v102.i02> for a high-level description of select functionality.

Airline on-time data for all flights departing NYC in 2013.
    Also includes useful 'metadata' on airlines, airports, weather, and
    planes.

Updating the now 10-year-old 'nycflights13' data package. It contains information about all flights that departed from the three main New York City airports in 2023 and metadata on airlines, airports, weather, and planes.

Provides a unified set of helper functions to access datasets 
    from the NYC Open Data platform <https://opendata.cityofnewyork.us/>. 
    Functions return results as tidy tibbles and support optional filtering, 
    sorting, and row limits via the Socrata API. The package includes endpoints 
    for 311 service requests, DOB job applications, juvenile justice metrics, 
    school safety, environmental data, event permitting, and additional citywide datasets. The
    package is utilized as a primary pedagogical tool for teaching data acquisition in 'Reproducible Research Using R'.

Access the New Zealand Freshwater Fish Database from R and a few functions to clean the data once in R.