cdCAT 0.1.0

• Initial release.
• Session-based CD-CAT engine via the CdcatSession R6 class.
• Support for DINA, DINO, and GDINA cognitive diagnosis models.
• Item selection criteria: KL, PWKL, MPWKL, SHE, sequential, and random.
• Attribute estimation methods: MLE, MAP, and EAP.
• Informative priors over skill profiles via cdcat_prior().
• Content balancing (Kingsbury & Zara, 1991).
• Exposure control (Sympson-Hetter and Randomesque).
• Shadow CAT via user-supplied constraint functions.
• Stopping rules: fixed length, attribute-level posterior threshold, and dual posterior threshold.
• Per-step history tracking with history_df().
• Built-in simulated datasets (cdcat_sim).