v1.2.0: Add C++ implementation of standard error calculations
Latest
- Add C++ implementation of standard error calculations. This implementation
uses SVD rather than a full pseudo-inverse.
- Add argument `se.smooth` for experimental Laplace smoothing on the response
probabilities when doing standard error calculations. This provides better
numerical stability and avoids very small standard errors.
- The original poLCA code is used for `nclass=1`
- Bump to C++20
- No OpenMP to stop overthreading in the regression model
- Minor update to the documentation
- Minor improvements in the C++ code by using more of the arma and C++
features such as using in-place operations and containers instead of raw
arrays