I could not find anything at the link you show. But I bet you can come close to it (or maybe even better, get reasonable plots displaying the fitted model), using the 'effects' package and it's 'allEffects' function. One issue is that if you have unbalanced data, its results are kind of weighted towards cases having higher frequencies. In that case, the 'lsmeans' package will compute the equally weighted estimates, but the plots aren't as fancy.

Russ Lenth

Sent from my iPad

------------------------
Hi,

Following the literature, I tried to fit the following
Mixed-effect model to describe the effect of plasma concentration on change
from baseline placebo-adjusted QTcF:

??QTcF ~ Treatment + Time + BaselineQTcF + (1|Patient) +
(0+Plasma|Patient)[Time is a discrete variable]

I would truly appreciate your help plotting "mean ??QTcF
with 90% CI"Please see an example in Figure 4, Page 10, inhttp://www.icardiac.com/Portals/0/PDFs/Darpo_Lomitapide_ANE_2013.pdfI spent hours trying
to figure out what is being plotted and how to create the plot.
Thank you for your help

   [[alternative HTML version deleted]]


	[[alternative HTML version deleted]]

