SteppedPower 0.3.2
 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
SteppedPower 0.3.1
 The function
wlsPower()
now also computes the
information content of clusterperiod 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 clusterperiod 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