NEWS

dyadicMarkov 0.1.1

Added S3 classes and print/summary support for pattern and case identification results.
Added S3 classes for empirical count matrices and MLE transition probability matrices while preserving ordinary matrix behavior.
Added two synthetic 90-point example datasets for package workflow examples.
Rewrote the workflow vignette around the built-in univariate and bivariate example datasets.
Improved internal input validation for count, estimation, and pattern-identification functions.
Updated tests and documentation for the new S3 return objects.
Improved validation for extreme state-space inputs, non-finite chain values, and malformed empirical matrices.
Refactored selected internal validation and AIC helper code to reduce function complexity while preserving exported behavior.
Improved bivariate count validation coverage for unsupported and malformed inputs.