NEWS
LCPA 1.0.2 (2026-04-10)
- 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 (2026-02-27)
- 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 (2026-01-22)