SteppedPower 0.3.1

• 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

SteppedPower 0.2.0

• 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.

SteppedPower 0.1.0

• Initial submission to CRAN