Release Notes for Pumas 2.3.2
Pumas
Bug fixes and minor improvements
- Added a
cor2cov
method forPDMat
s such that it works on params withLKJCholesky
priors. - Support fixed width string types (
String3
, etc) inread_pumas
andSubject
constructors because they may be be present when reading in tabular data. - Speed up
DataFrame
constructor forSimulatedObservations
(output ofsimobs
).
Pumas Utilities
Bug fixes and minor improvements
- Fix a bug where apps did not work when using more than two vCPUs.
Bioequivalence
Features
- 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) andcv_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.
Bug fixes and minor improvements
- Column mapping arguments now accept
AbstractString
in addition toSymbol
arguments. - Reference argument removed in favor of alphabetical order of set letters, e.g.
RT
,RST
, andABCD
.