Release Notes for Pumas 2.3.2

Pumas

Added a cor2cov method for PDMats such that it works on params with LKJCholesky priors.
Support fixed width string types (String3, etc) in read_pumas and Subject constructors because they may be be present when reading in tabular data.
Speed up DataFrame constructor for SimulatedObservations (output of simobs).

Statistical significance now uses Satterthwaite degrees of freedom
Support for additional replicated designs
Results include estimates of within-subject variability CV
Provide convenience functions for the sigma to geometric CV and in reverse.
Include functionality to conveniently simulate various reference-scaled confidence intervals and their critical boundary estimates.
Adapted the reference scaling from the ABEL framework to using the critical boundary re-specification according to latest regulatory guidance.
Reference scaling parameter changed from regulatory and auxiliary parameters to (theta - regulatory parameter) and cv_max for maximum within-subject variability for expanding the confidence interval.
Added the homogeneity argument to control the degrees of freedom for parallel designs and the model structure for replicated crossover designs.
Estimates for the geometric mean ratio and associated confidence intervals are reported in level scale rather than in percent form.
Added a assess_be to obtain the bioequivalent assessment from a study based on different and customizable criteria including pre-defined criteria for major regulatory guidances.

Column mapping arguments now accept AbstractString in addition to Symbol arguments.
Reference argument removed in favor of alphabetical order of set letters, e.g. RT, RST, and ABCD.