Provides quality control (QC), normalization, and batch
    effect correction operations for 'NanoString nCounter' data, Talhouk
    et al. (2016) <doi:10.1371/journal.pone.0153844>.  Various metrics are
    used to determine which samples passed or failed QC.  Gene expression
    should first be normalized to housekeeping genes, before a
    reference-based approach is used to adjust for batch effects.  Raw
    NanoString data can be imported in the form of Reporter Code Count
    (RCC) files.

Full 64-bit resolution date and time functionality with
 nanosecond granularity is provided, with easy transition to and from
 the standard 'POSIXct' type. Three additional classes offer interval,
 period and duration functionality for nanosecond-resolution timestamps.

Conducts Bayesian Hypothesis tests of a point null hypothesis against a two-sided alternative
             using Non-local Alternative Prior (NAP) for one- and two-sample z- and t-tests 
             (Pramanik and Johnson, 2022). Under the alternative, the NAP is assumed on the standardized 
             effects size in one-sample tests and on their differences in two-sample tests. The package 
             considers two types of NAP densities: (1) the normal moment prior, and (2) the composite alternative. 
             In fixed design tests, the functions calculate the Bayes factors and the expected weight of evidence
             for varied effect size and sample size. The package also provides a sequential testing framework using the
             Sequential Bayes Factor (SBF) design. The functions calculate the operating characteristics (OC)
             and the average sample number (ASN), and also conducts sequential tests for a sequentially observed data.

An R wrapper for pulling data from the National Public Transport Access Nodes ('NaPTAN') API (<https://www.api.gov.uk/dft/national-public-transport-access-nodes-naptan-api/#national-public-transport-access-nodes-naptan-api>). This allows users to download 'NaPTAN' transport information, for the full dataset, by ATCO region code, or by name of region.