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LCPA 1.0.2

• Added - Added a new function adjust.model for aligning two LCA or LPA objects.
• Added - Added visualization plots (S3 method plot) for LCA and LPA.
• Fixed - Resolved the case sensitivity issue of observed indicator names when calling Mplus
• Fixed - Improved Python environment selection in the install_python_dependencies function.
• Fixed - Fixed the description issues in the comment documentation.
• Fixed - Enhanced the stability of the LRT.test.Bootstrap function.
• Fixed - Removed unnecessary Mplus statements from LCA and LPA.
• Fixed - Improved the efficiency of Python code calling NVIDIA GPUs (Cuda + cuDNN + Pytorch) for deep network training.

LCPA 1.0.1

• Fixed - Resolved the configuration issue with control.NNE.
• Fiexd - Resolved return parameter res$params$par naming issue in LCA.
• Added - For LCA, LPA, LCPA, and LTA, users can control whether to enable the self-attention mechanism (i.e., transformer encoder) through the use.attention arguments.

LCPA 1.0.0

• Initial release

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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