- internal restructuring and error fixes
plot.DesMat()now has a new option to plot the treatment allocation for individuals (instead of entire clusters)
- local R installation (Win 10), R 4.4.0
- Mac OS 14.4.1 (on GitHub Actions), R 4.4.0
0 errors ✔ | 0 warnings ✔ | 0 notes ✔
R CMD check succeeded
- Fixed the roxygen2 bug as explained in r-lib/roxygen2#1491
- The most noticeable change in this version is that the abbrevation
wls(weighted least squares) in function names is now replaced withgls(generalised least squares) to more properly reflect the scope of the functionality. For example, the functionwlsPower()is now calledglsPower()- 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
- local R installation (Windows 10) , R-devel (4.3.0)
- Mac OS 11.6.6 (on GitHub Actions), R 4.2.0
- ubuntu 20.04.4 (on GitHub Actions), R 4.2.0
- Windows Server 2022 10.0.20348 (on GitHub Actions), R 4.2.0
0 errors ✔ | 0 warnings ✔ | 0 notes ✔
R CMD check succeeded
You saw:
Found the following (possibly) invalid URLs:
URL: https://www.unimedizin-mainz.de/imbei/imbei/welcome-page (moved to https://www.unimedizin-mainz.de/imbei/imbei/welcome-page/)
From: inst/doc/Getting_Started.html
I fixed the trailing slashes in the vignette.
Since submission of version 0.2.0 (published 2021-07-07), I changed the following:
- 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_colorbarto hide colour bars was added - An option
marginal_plotsto hide marginal plots on whole periods or clusters was added. - Various aesthetic improvements, e.g.: Improved hover information, dynamic gap size between cells.
- Vignette was extended
- local R installation (Windows 10) , R 4.1.2
- Mac OS 10.15.7 (on GitHub Actions), R 4.1.2
- ubuntu 20.04.2 (on GitHub Actions), R 4.1.2
- Windows Server 2019 10.0.17763 (on GitHub Actions), R 4.1.2
0 errors | 0 warnings | 1 note
checking installed package size ... NOTE
installed size is 5.1Mb
sub-directories of 1Mb or more:
doc 5.0Mb
The main culprit are the interactive plots, produced with plotly. If necessary, I
could remove those from the vignette, but I'd be thrilled if the vignette could keep those plots.