# 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