powerlmm 0.4.0

Changes in version 0.4.0

This version substantially improves the simulate method.

New features

• The simulate method is now much more flexible. New features include:
  • Compare more than 2 model formulas (#2).
  • Apply a data transformation during simulation; sim_formula(..., data_transform = func).
    As an example transform_to_posttest is included.
  • Choose which parameters to test; sim_formula(..., test = "treatment")
  • Fit OLS models. If a model formula is supplied that contain no random effects the
    model is fit using OLS lm(). If this is combined with the transform_to_posttest the
    longitudinal model can be compared to a cross-sectional model, e.g. ANCOVA.
  • Investigate LRT model selection of the random effects. Nested random effect models
    can be tested using LRT, and results from the "best" model is returned. The log-likelihood
    is saved during each simulation, so the model selection can be done as a
    post-processing step; summary.plcp_sim(..., model_selection = "FW", LRT_alpha = 0.25).

Breaking canges

• simulate(formula = x) must now be created using the new functions sim_formula, or
  sim_formula_compare, and can no longer be a named list or a character vector.

Bug fixes

• summary.plcp_sim() now show fixed effect thetas in the correct order, thanks to
  GitHub user Johnzav888 (#10).