# fHMM 1.0.3

- We 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 ‘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`

.
- Created a package start-up message.
- Fixed minor bugs.

# fHMM 0.2.0

- Improved documentation of functions and README.
- Improved specification of
`controls`

. (#37 and #38)

# fHMM 0.1.0