mapbayr 0.10.0

New features

Model averaging

• New model_averaging() to make averaged predictions over estimations performed from several models. Also exports do_model_averaging() and compute_weights() for low-level implementations.

Prediction-corrected Visual Predictive Checks

• New mapbayr_vpc() to make prediction-corrected visual predictive checks (pcvpc) from a given model and dataset. Control the independent variable (idv), and the stratification on a numeric variable in the dataset (stratify_on).

Minor changes and Bug Fixes

• hist() method (hist.mapbayests()) now shows the values of eta-shrinkage in multiple subjects setting. New argument shk to control the definition of shrinkage, either based on the standard deviation ("sd") or on the variance ("var") (@LauraMvn, #192).
• New mapbayr_plot() in order to plot results from tables (data.frame). This is the function now called by plot.mapbayests() internally. Can plot the results of multiple estimation object (informed in the column "MODEL"), useful when model averaging is performed. Argument MODEL_color to force the color of a model on the plot.
• New do_mapbayr_sims() as an engine to simulate from estimation results. Experimental. Now mostly useful for internal or programmatic uses, but might be extended in the future.
• Refactor augment.mapbayests(). Now easier to debug and much more faster, especially when uncertainty on predictions is required.
• Refactor OFV computation: parameters ("ETA") are now passed through the data set and not through $PARAM, however the definition on "ETA" in $PARAM remains mandatory.
• Now postprocesses datasets with >=2 missing covariates (#185).
• "ETA" parameters cannot be longer declared as "@covariates" in $PARAM to avoid hazardous behaviours (@jbwoillard, #187).
• By default, augment() now simulates at least 200 points per individual. Fix a bug where delta was miscalculated and strange-looking plots were sometimes generated (@LauraMvn, #191).
• The mapbay_tab now has the same number of rows as original data especially if it did not have observation rows (@LauraMvn, #193).
• With data helpers, the .datehour column is updated after realize_addl is being called (@LauraMvn, #194).
• Dependencies: mrgsolve (>= 1.0.8) to benefit from the etasrc specification.
• Suggestions: scales.
• Add Laura Morvan @LauraMvn as contributor.