{simswjm} 0.0.5

This release fixes some bugs with the dropout mechanism based on a logistic mixed effects model. Documentation is improved as well.

{simswjm} 0.0.4

This version of the {simswjm} package introduces the possibility of adjusting the intercept of the mixed effects logistic regression model for dropout, when logistic_dropout = TRUE. Documentation of the swtrial_inf() has also been improved.

{simswjm} 0.0.3

Version 0.0.3 of {simswjm} implements a second informative dropout mechanism, loosely based on a mixed effects logistic regression model. More details are included in the help file for the swtrial_inf() function, which can be accessed from your R console as follows:

?swtrial_inf

{simswjm} 0.0.2

Version 0.0.2 of {simswjm} includes fixes for some issues with the rendering of the package documentation. No other change is included.

{simswjm} 0.0.1

First public release (on GitHub) of the {simswjm} package.

This includes functionality to simulate data from stepped wedge cluster randomised trials with a continuous, binary, or count longitudinal outcome and assuming either non-informative or informative dropout from the study.