Patch update to update the package maintainer's email address.
Patch update to the SynergyLMM package (1.1.2) to add the citation to the published article and some minor updates.
APrioriPwr(), PwrSampleSize(), and PwrTime() now allow to control the output of exemplary data plot.lmmModel_estimates() documentation and naming of columns in the resulting data frame.Patch update to the SynergyLMM package (1.1.1) so it does not break with the new ggplot2 v4.0.0 update.
Replaced fragile test for correct ggplot output in plot_SynergyLMM() function.
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.