Noninferiority tests for difference in failure rates at a prespecified control rate or prespecified time. For details, see Fay and Follmann, 2016 <DOI:10.1177/1740774516654861>.

Snow water equivalent is modeled with the process based 'delta.snow' model and empirical regression models using relationships between density and diverse at-site parameters. The methods are described in Winkler et al. (2021) <doi:10.5194/hess-25-1165-2021>, Guyennon et al. (2019) <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016) <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009) <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010) <doi:10.1175/2010JHM1202.1>.

A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a foundation
    model for time series forecasting. 'API' is an acronym for 'application
    programming interface'; this package allows users to interact with
    'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts
    via 'API' calls. It is compatible with 'tsibble' and base R. For more details 
    visit <https://docs.nixtla.io/>.

Provides an R interface to free geocoding REST APIs maintained by the New Jersey Office of GIS <https://njgin.nj.gov/njgin/edata/geocoding/index.html#!/> and commonly used shapefiles.

SQL like query interface to fetch data from any 'Jira' installation. The data is fetched using 'Jira' REST API, which can be found at the following URL: <https://developer.atlassian.com/cloud/jira/platform/rest/v2>.

Download and analyze motor vehicle crash data released by the New Jersey Department of Transportation (NJDOT).
  The data in this package is collected through the filing of NJTR-1 form by police officers, which provide a standardized way of documenting a motor vehicle crash that occurred in New Jersey.
  3 different data tables containing data on crashes, vehicles & pedestrians released from 2001 to the present can be downloaded & cleaned using this package.

Optimization for nonlinear objective and constraint functions.  Linear or nonlinear equality and inequality constraints are allowed.  It accepts the input parameters as a constrained matrix.