# Update history of ForeCA
## v0.1
- changed underscore (`_`) in argument names to dot (`.`). E.g., `max_iter` to `max.iter`
- cleaned up code for better readability
- changed `=` to `<-` assignment operator (big thanks to `tidy.source()`)
- removed unnecessary code (thanks `checkUsage()`)
- cleaned up `NEWS` file and edited to conform to proper markdown format
- changed `method` argument in `foreca()` to `algorithm.type`
- moved the function to initialize a weightvector out from the `EM` class, to its own function (`initialize_weightvector()`)
- replaced AR spectrum estimation to `"burg"` in `spec.ar()`
- moved `tol`, `nstart`, and `max.iter` in `foreCA.EM()` into a `control` list (where `nstart` became `num.starts`)
- improved display of `plot.foreca.EM.opt_weightvector`
### Bug fixes
- fix bug in `mvspectrum2wcov()`
- fix bug in `mvspectrum()` (set `detrend = FALSE` and `fast = FALSE` in `astsa::mvspec`)
- make all spectral estimate functions return the same number of frequencies (`T/2` +/- 1 depending on even/odd sample size)
- fix bug in `fill_symmetric()` (double counting diagonal; only affected `SDF` type estimation)
## v0.0.9
- changed capitalized ForeCA names to lowercase (except for abbreviations such as `EM` or `MLE`). E.g., `ForeCA.EM` to `foreca.EM`;
- changed `foreca.one_weightvector()` to `foreca.EM.opt_weightvector()`
## v0.0.8.1
- added many additional functions in the package, including the main algorithm `ForeCA.EM`
- changed to Roxygen2 documentation
## v0.0.1 (initial release)
- base functions to estimate (spectral) entropies and Omega for (multivariate) time series
- first draft of documentation
- simple examples in help files
First version 0.0.1 written by Georg M. Goerg on May 14, 2012.
# Bugs & feature requests
* check what is the best way to store the 3D array spectrum
- frequency last or first?
- `data.table` package?
* include more spectrum estimators
* include a continuous estimator of spectral entropy; can be used, e.g., to compute entropy for a fitted AR spectrum
* compressed sensing type of sparsity in the spectrum; currently only by a heuristic thresholding rule
* nice plotting for 3D spectra?