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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.