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dynr 0.1.16-XX

• 2021-04-12
• MAJOR BUG FIX with smoothed latent state covariance

dynr 0.1.15-1

• 2019-10-04
• Multiple imputation for missing data with dynr.mi() function
• New demo for multiple imputation called MILinearDiscrete
• New demo for time-varying parameters called SDETVP
• New wrapper functions for computing smoothed derivative estimates using penalized B-splines implemented with the fda package
• New plotting functions, including functions to generate diagnostic plots from smoothed derivative estimates, and plot phase portraits
• New demo for computing and visualizing smoothed derivative estimates in GetDerivs
• New functionality in dynr.cook() to estimate continuous-time dynamic models with mixed effects through use of theta.formula
• MAJOR BUG FIXES with missing data

dynr 0.1.14-9

• 2019-04-01
• 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
• 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
• 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
• 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 ‘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
• 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
• Noise printing by plotFormula() function
• Fixed innovation vector computation for larger than 1-dimensional observations

dynr 0.1.11-2

• 2017-06-16
• New demo for a linear oscillator with time-varying parameters
• 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
• 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.
• 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
• 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.
• Changes are made to accommodate the new release of ggplot2.

dynr 0.1.8

• 2016-08-12
• 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!

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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