Implements the multivariate adaptive shrinkage (mash)
    method of Urbut et al (2019) <DOI:10.1038/s41588-018-0268-8> for
    estimating and testing large numbers of effects in many conditions
    (or many outcomes). Mash takes an empirical Bayes approach to
    testing and effect estimation; it estimates patterns of similarity
    among conditions, then exploits these patterns to improve accuracy
    of the effect estimates. The core linear algebra is implemented in
    C++ for fast model fitting and posterior computation.

Create vectors with sticky flags for elements that should not be
    displayed. Numeric vectors have basic subset and arithmetic methods
    implemented.

Mask ranges based on expert 
    knowledge or remote sensing layers. These tools can 
    be combined to quantitatively and reproducibly 
    generate a new map or to update an existing map.
    Methods include expert opinion and data-driven 
    tools to generate thresholds for binary masks.

Functions and datasets to support Venables and Ripley,
  "Modern Applied Statistics with S" (4th edition, 2002).

Mass measurement corrections and uncertainties using calibration
    data, as recommended by EURAMET's guideline No. 18 (2015) 
    ISBN:978-3-942992-40-4 . The package provides classes, functions, and 
    methods for storing information contained in calibration certificates
    and converting balance readings to both conventional mass and real mass.
    For the latter, the Magnitude of the Air Buoyancy Correction factor employs
    models (such as the CIMP-2007 formula revised by Picard, Davis, Gläser, and
    Fujii (2008) <doi:10.1088/0026-1394/45/2/004>) to estimate the local air
    density using measured environmental conditions.

Some enhancements, extensions and additions
    to the facilities of the recommended 'MASS' package 
    that are useful mainly for teaching purposes, with
    more convenient default settings and user interfaces.
    Key functions from 'MASS' are imported and re-exported
    to avoid masking conflicts.  In addition we provide
    some additional functions mainly used to illustrate
    coding paradigms and techniques, such as Gramm-Schmidt
    orthogonalisation and generalised eigenvalue problems.