lmmSynergy() now allows for multiple testing correction
and p-value adjustment.lmmModel_estimates() now also reports the standard
error of the fixed effect coefficients.lmmSynergy() now also returns a data frame with the
estimated coefficients, calculated with
lmmModel_estimates(), for each time point.CookDistance() now allows to choose between calculating
Cook’s distances based on changes of the fitted values, or changes of
the fixed effects.lmmSynergy()
when method = "RA" and negative values in the denominator
appear. A message is prompted and CI values are capped at 100 to
maintain interpretability.Correcting minor errors in vignette.
We are excited to announce the release of SynergyLMM, an R package providing a comprehensive statistical framework for designing and analyzing in vivo drug combination experiments.