Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests outperform standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.

Programmatic interface to the Web Service methods provided by
    the National 'Phenology' Network (<https://usanpn.org/>), which
    includes data on various life history events that occur at specific
    times.

Apply sensitivity analysis for offline policy evaluation, as
    implemented in Jung et al. (2017) <arXiv:1702.04690> based
    on Rosenbaum and Rubin (1983) <http://www.jstor.org/stable/2345524>.

Utility functions to retrieve data from the UK National River
    Flow Archive (<https://nrfa.ceh.ac.uk/>, terms and conditions:
    <https://nrfa.ceh.ac.uk/help/costs-terms-and-conditions>). The package
    contains R wrappers to the UK NRFA data temporary-API. There are
    functions to retrieve stations falling in a bounding box, to generate
    a map and extracting time series and general information. The package
    is fully described in Vitolo et al (2016) "rnrfa: An R package to
    Retrieve, Filter and Visualize Data from the UK National River Flow
    Archive"
    <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.

Routines to interact with the Numerai Machine Learning Tournament
  API <https://numer.ai>. The functionality includes the ability to automatically download the
  current tournament data, submit predictions, and to get information for your
  user.