A fast 'JSON' parser, generator and validator which converts 'JSON', 
    'NDJSON' (Newline Delimited 'JSON') and 'GeoJSON' (Geographic 'JSON') data 
    to/from R objects.  The standard R data types are 
    supported (e.g. logical, numeric, integer) with configurable handling of NULL 
    and NA values. Data frames, atomic vectors and lists are all supported as data 
    containers translated to/from 'JSON'.  'GeoJSON' data is read in as
    'simple features' objects.
    This implementation wraps the 'yyjson' 'C' library which 
    is available from <https://github.com/ibireme/yyjson>.

Provides simple statistics from instruments and observations at sites in the NEON network, and acts as a simple interface for v0 of the National Ecological Observatory Network (NEON) API.
  Statistics are generated for meteorologic and soil-based observations, and are presented for daily, annual, and one-time observations at all available NEON sites.
  Users can also retrieve any dataset publicly hosted by NEON. Metadata for NEON sites and data products can be returned, as well as information on data product availability by site and date. 
  For more information on NEON, please visit <https://www.neonscience.org>. For detailed data product information, please see the NEON data product catalog at <https://data.neonscience.org/data-product-catalog>.

A suite of statistics for identifying areas of the genome under selective pressure. See Jacobs, Sluckin and Kivisild (2016) <doi:10.1534/genetics.115.185900>.

Principled methods for the imputation of zeros, left-censored and missing data in
    compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).

Contains the US Census Bureau's 2020 ZCTA to County Relationship 
    File, as well as convenience functions to translate between States, Counties
    and ZIP Code Tabulation Areas (ZCTAs).

An implementation of z-curves - a method for estimating expected discovery 
    and replicability rates on the bases of test-statistics of published studies. The package 
    provides functions for fitting the new density and EM version 
    (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>), censored observations,  
    as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). 
    Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. 
    See the aforementioned articles for more information about the z-curves, expected discovery 
    and replicability rates, validation studies, and limitations.