dynr 0.1.14-9
--------------

2019-04-01

New features include:
* Outlier detection with dynr.taste() function
* Oulier removal and re-fitting with dynr.tast2() function
* New demo for outliers called OutlierDetection
* We now allow 1-regime recipe parts to co-exist with n-regime parts

Bug fixes and performance tweaks include:
* Lots of error checking was added around matching the number of regimes
* Many cases of the doDykstra error are now safely caught
* Generally cleaned up the error handling on models that failed to converge
* Shorten several demos to run faster


dynr 0.1.13-4
--------------

2018-09-21

New features include:
* You don't need to install R on Windows to C:/R anymore! The default (C:/Program Files/R) now works.
* New demo for time-varying parameter (TVP) models
* Several new vignettes covering a range of topics

Bug fixes and performance tweaks include:
* The deviation form of regimes now displays properly in plotFormula
* No longer require 'outfile' specification in dynr.model()
* Fix a pointer addressing issue that could have caused crashes


dynr 0.1.12-5
--------------

2018-02-08

New features include:
* New 'verbose' argument to dynr.cook turns off printing of optimization history
* New demo for Process Factor Analysis (PFA)
* Regime-switching printing in plotFormula() with new 'printRS' argument

Bug fixes and performance tweaks include:
* Greatly improved convergence rates for all models
* Allow full initial covariance estimation
* Fixed major bug in regime-switching matrix dynamics that formerly crashed R


dynr 0.1.11-8
--------------

2017-08-21

New features include:
* Noise printing by plotFormula() function

Bug fixes and performance tweaks include:
* Fixed innovation vector computation for larger than 1-dimensional observations


dynr 0.1.11-2
--------------

2017-06-16

New features include:
* New demo for a linear oscillator with time-varying parameters

Bug fixes and performance tweaks include:
* Fixed printex output for covariates and deviation form of the initial conditions
* Fixed memory leak for intercepts in measurement models


dynr 0.1.10
--------------

2017-05-19

New features include:
* Use of individual-level covariates in the initial conditions. See ?prep.initial for details.
* Deviation form of regime-switching models.  Seee ?prep.regimes for details.
* Access to the predicted, filtered, and smoothed latent variable estimates, and other by-products from the regime-switching extended Kalman filter in the 'cooked' model.
* We now allow calculation of the negative log-likelihood value, the hessian matrix, and the predicted, filtered, and smoothed latent variable estimates at fixed parameter values without parameter optimization.
* Beta version of a multiple imputation procedure.  See ?dynr.mi for details.

Bug fixes and performance tweaks include:
* Fixed a rounding bug that improves free parameter optimization, especially for models with many observed variables.
* Improved documentation throughout
* Added more examples in the help pages


dynr 0.1.9
--------------

2017-02-21

New features include:
* A new demo example is added to replicate the results from Yang & Chow (2010) paper.
* Some standard S3 methods are added for the dynrCook class object.
* autoplot() is added as an alias for dynr.ggplot().
* dynr.data() now automatically handles ts class objects and equally spaced data with missingness.

Bug fixes and performance tweaks include:
* Changes are made to accommodate the new release of ggplot2. 


dynr 0.1.8
--------------

2016-08-12

New features include:
* None


Bug fixes and performance tweaks include:
* In single-regime models, free parameters for intercepts and covariate effects
    in the measurement model can now be properly estimated.
* Standard errors are more frequently returned
* Flags indicate problematic standard errors.
* Warning messages are more helpful regarding standard errors.
* A weight flag allows easier convergence of multi-subject models.
* Several new plotting features.


dynr 0.1.7
--------------

2016-06-07

Initial release to CRAN!

