# fHMM 1.2.0

* Controls can now be provided separately for the `set_controls()` function.

* The arguments in `fHMM_parameters()` for model parameters were slightly renamed as follows:

  - `mus` -> `mu`
  
  - `sigmas` -> `sigma`
  
  - `dfs` -> `df`
  
  - `Gammas_star` -> `Gamma_star`
  
  - `mus_star` -> `mu_star`
  
  - `sigmas_star` -> `sigma_star`
  
  - `dfs_star` -> `df_star`

* The log-normal state-dependent distribution is renamed: `lnorm` -> `lognormal`.

* Two more state-dependent distributions were added: `normal` and `poisson`.

* The Viterbi algorithm can be directly accessed via `viterbi()`.

* Renamed `simulate_data()` -> `simulate_hmm()` to make the functionality clearer. Furthermore, this function is now exported and can be used outside of the package to simulate HMM data.

* `download_data()` no longer saves a .csv-file but returns the data as a `data.frame`. Its `verbose` argument is removed because the function no longer prints any messages.

* The utilities (i.e., all functions with roxygen tag `@keywords utils`) were moved to the [`{oeli}`](https://loelschlaeger.de/oeli/) package.

# fHMM 1.1.1

* Fixed documenting the new special sentinel "_PACKAGE" for the package help file, see https://github.com/r-lib/roxygen2/issues/1491.

# fHMM 1.1.0

* Extended the time horizon of saved data and updated models for demonstration.

* The `download_data()` function now returns the data as a `data.frame` by default. However, specifying argument `file` still allows for saving the data as a .csv file.

* The `plot.fHMM_model()` function now has the additional argument `ll_relative` (default is `TRUE`) to plot the relative log-likelihood values when `plot_type = "ll"`.

* Significantly increased the test coverage and fixed minor bugs.

* Changed color of time series plot from `"lightgray"` to `"black"` for better readability.

* Added a title to the time series plot when calling `plot.fHMM_model(plot_type = "ts")`. Additionally, a time interval with arguments `from` and `to` can be selected to zoom into the data.

# fHMM 1.0.3

* Added the following methods for an `fHMM_model` object: `AIC()`, `BIC()`, `logLik()`, `nobs()`, `npar()`, `residuals()`.

* The log-normal distribution can now be estimated by setting `sdds = "lnorm"` in the `controls` object.

# fHMM 1.0.2

* Fixed bug in `reorder_states()` that did not order the fine-scale parameter sets when the coarse-scale order was changed.

* Fixed bug in `parameter_labels()` that returned the wrong order of parameter labels.

* Changed plot type of simulated data to lines.

# fHMM 1.0.1

* In the vignette on controls, in the section about example specifications for `controls`, corrected `sdds = "gamma(mu = -1|1)"` to `sdds = "gamma(mu = 0.5|2)"` because mean of the Gamma distribution must be positive.

* Added `digits` argument to `print.fHMM_predict()`.

* Fixed bug in `reorder_states()` that allowed for misspecification of `state_order`.

* Added option to `fit_model()` to initialize at the estimates of another model (#73).

# fHMM 1.0.0

* Enhanced the package by S3 classes.

* Added more `controls` specifications.

* Included a prediction function.

* Improved documentations.

# fHMM 0.3.0

* Added vignettes.

* Improved specification of `controls`.

* Fixed minor bugs.

# fHMM 0.2.0

* Improved documentation of functions and README.

* Improved specification of `controls`. (#37 and #38)

# fHMM 0.1.0

* Initial version.
