Changes in version 0.3.2 (2022-07-04)                  

  - The most noticeable change in this version is that the abbrevation
    wls (weighted least squares) in function names is now replaced with
    gls (generalised least squars) to more properly reflect the scope of
    the functionality. For example, the function wlsPower() is now
    called glsPower() - although the former version still works and
    throws a warning.
  - The closed formula for the computation of information content is now
    a dedicated formula, called compute_InfoContent()
  - In plot.glsPower() there now is an option to manually set the font
    size of the annotation in the influence plots

                 Changes in version 0.3.1 (2021-12-16)                  

  - The function wlsPower() now also computes the information content of
    cluster-period cells. Computation is currently done twice, once with
    a general formula and once explicitly. Information content of whole
    periods or clusters is also computed.
  - The method plot.wlsPower() recieved multiple updates:
      - It now produces up to four plots: the projection matrix, the
        information content, the intervention design and the covariance
        matrix.
      - Incomplete designs (SWD where some cluster-period cells are
        omitted) are now visualised
      - Plots of projection matrix and information content can now be
        annotated with particular values in each cell; This is the
        default for smaller designs and can be turned on/off via
        annotations = <TRUE/FALSE>
      - An option show_colorbar to hide colour bars was added
      - An option marginal_plots to hide marginal plots on whole periods
        or clusters was added.
      - Various aesthetic improvements, e.g.: Improved hover
        information, dynamic gap size between cells.
  - Vignette extended

                 Changes in version 0.2.0 (2021-07-07)                  

  - The function wlsPower() now has an argument alpha_012 that offers an
    alternative way to specifiy the correlation matrix.
  - In function wlsPower(), the argument AR now accepts a vector of up
    to three values. This allows to specifiy autoregressive structures
    for only a subset of: random cluster intercept, random intervention
    effect and random subject intercept.
  - Closed formulae were added.
  - The method plot.wlsPower now produces up to three plots, the
    projection matrix, the intervention design and the covariance
    matrix.
  - The vignette was extended.

                 Changes in version 0.1.0 (2021-02-04)                  

  - Initial submission to CRAN