# bigtime 0.2.1

* Dependency on Rcpp version >=1.0.7 added to the DESCRIPTION

# bigtime 0.2.0

* `sparseVAR`, `sparseVARMA`, `sparseVARX` are all more efficient and faster now
* All estimation functions return corresponding S3 classes
* `fitted` and `residuals` functions were implemented for VAR, VARMA, VARX 
* `diagnostics_plot` was implemented for VAR, VARMA, VARX
* `plot_cv` was implemented; Allows to investigate the behavior in CV 
* `sparseVAR`, `sparseVARMA` and `sparseVARX` can now use information criteria to select the optimal penalization
* `simVAR` allow for the simulation of VAR models using different sparsity patterns; utility functions `summary` and `plot` were also implemented for simulated VARs
* Default selection procedure in `sparseVAR`, `sparseVARMA` and `sparseVARX` changed to "none". Will return a 3D array of estimations from this version on, unless a different selection procedure is chosen. **WARNING: This can break old code!**
* `recursiveforecast` was implemented for VAR models. 
* `is.stable` was implemented for VAR models
* in `plot_cv`, `directforecast`, and `lagmatrix` the model argument was removed. Functions know  automatically what model was used. **WARNING: This can break old code!** 
* All model functions will give warnings if the given data is not standardized
* added example data for VAR, VARMA, and VARX

# bigtime 0.1.0

* First release on CRAN
