This is a resubmission. In this version I have:
- A new feature to process reflective CFA/CBSEM models through Lavaan
- Measurement/structural models converted into Lavaan syntax
- New item error covariances specification created for CFA/CBSEM measurement
- By default, MLR (robust ML) estimation used
- User can pass parameters to Lavaan's estimate_* functions (e.g., fiml)
summary()of CFA/CBSEM estimation uses information from Lavaan summaries
- A new feature to extract ten Berge scores for CFA/CBSEM models
- Tests added for new features
- Demos added to show new features
- Updated several features to work for both PLS and CFA/CBSEM
- Interactions work for PLS and CBSEM
- Two_stage adapts to CBSEM, using CFA to get ten Berge scores in first stage
- R^2 and VIFs computed using correlation matrices instead of
lm()
- Updated summary objects to hold meta information of estimation method
- Vignette updated to show new features
- Fixed a broken URI: Found the following (possibly) invalid file URI: URI: comparing-cbsem-and-pls-pm-example From: README.md
- Patched if() conditionals including class() to reflect new CRAN class of matrix as c("matrix","array") in R V4.0.0
- Attended to a bug in the code.