covar="varadj"
) for correlation between time-points - this is now the default in mb.run()
tloglin()
)overlay.nma
option to predict()
to allow plotting of “lumped” NMA results over MBNMA predictionslink="smd"
) or Ratios of Means (link="log"
) to allow modelling of studies with different scaleslower_better
argument used instead of decreasing
for rankingsmb.run()
are now given as class("timefun")
and time-course parameters are specified within these functionspredict()
can now be rankedggdist::stat_halfeye()
print()
or summary()
mb.nodesplit()
plot.mb.network()
now uses a layout
argument that takes an igraph layout function instead of layout_in_circle
(which was a logical argument). This allows any igraph layout to be plotted rather than just a circle (e.g. igraph::as_star()
)plot.mb.network
now have specific igraph attributes assigned to them, which can be easily changed by the user.user.fun
now takes a formula as an argument (for example ~ (beta.1 * dose) + (beta.2 * dose^2)
) rather than a string.mb.network
objects are now stored within lists of most other mb class objects for easy reference of data formattimeplot
raw responses can be plotted by either arm (plotby="arm"
) or relative (plotby="rel"
) effects.Welcome to MBNMAtime. Ready for release into the world. I hope it can be of service to you! For dose-response MBNMA, also check out the sister package, MBNMAdose.