dyadicMarkov 0.1.1

• Updated package wording and metadata for the CRAN submission.
• 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.

dyadicMarkov 0.1.0

• Initial CRAN submission.