Functions and data sets used in examples and exercises in the
        text Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data
        Analysis and Graphics Using R", and in an upcoming Maindonald,
        Braun, and Andrews text that builds on this earlier text.

Data sets and functions, for the display of gene expression array (microarray) data, and for demonstrations with such data.

Implements the DAAREM method for accelerating the convergence of slow, monotone sequences from smooth, fixed-point iterations such as the EM algorithm. For further details about the DAAREM method, see Henderson, N.C. and Varadhan, R. (2019) <doi:10.1080/10618600.2019.1594835>.

Data Analysis using Bootstrap-Coupled ESTimation.
  Estimation statistics is a simple framework that avoids the pitfalls of
  significance testing. It uses familiar statistical concepts: means,
  mean differences, and error bars. More importantly, it focuses on the
  effect size of one's experiment/intervention, as opposed to a false
  dichotomy engendered by P values.
  An estimation plot has two key features:
  1. It presents all datapoints as a swarmplot, which orders each point to
  display the underlying distribution.
  2. It presents the effect size as a bootstrap 95% confidence interval on a
  separate but aligned axes.
  Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105.
  <doi:10.1038/s41592-019-0470-3>.
  The free-to-view PDF is located at <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.

Provides functions to manage databases: select, update, insert,
    and delete records, list tables, backup tables as CSV files, and import
    CSV files as tables.

Conduct detection and attribution of climate change using methods including optimal fingerprinting via 
    generalized total least squares or estimating equation approach from Ma et al. (2023) <doi:10.1175/JCLI-D-22-0681.1>. 
    Provide shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, 
    and Ledoit and Wolf (2017) <doi:10.2139/ssrn.2383361>.