SynergyLMM 1.1.2

Patch update to the SynergyLMM package (1.1.2) to add the citation to the published article and some minor updates.

Fixes

• Added citation to published article: https://doi.org/10.1038/s41467-025-65218-9.
• APrioriPwr(), PwrSampleSize(), and PwrTime() now allow to control the output of exemplary data plot.
• Minor corrections in lmmModel_estimates() documentation and naming of columns in the resulting data frame.

SynergyLMM 1.1.1

Patch update to the SynergyLMM package (1.1.1) so it does not break with the new ggplot2 v4.0.0 update.

Fixes

Replaced fragile test for correct ggplot output in plot_SynergyLMM() function.

SynergyLMM 1.1.0

New features:

• Gompertz growth model is now available for fitting data using non-linear mixed effect models.
• lmmSynergy() now allows for multiple testing correction and p-value adjustment.

Breaking changes:

• 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.

Minor improvements and fixes:

• Correction of combination index values in 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.

SynergyLMM 1.0.1

Correcting minor errors in vignette.

SynergyLMM 1.0.0

Initial Release

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.