
## mlts 2.0.1 
### Bug Fixes
* Selection of true values for data generation in `mlts_sim()` was spurious for residual SDs of outcome variables. Now set to 0.5. 
* Between-level standardization using `mlts_standardized()` failed for models with multiple time-invariant covariates.
* `mlts_paths()` did not display time-invariant covariates used as outcome predictors

## mlts 2.0.0 

### New Features 
* Deprecated `mlts_model_paths()` and replaced with `mlts_paths()`.  
* Inclusion of non-lagged (i.e., same time) directed effects via the `incl_t0_effects` argument in `mlts_model()`. Note that model formulas is not supported for these types of models at this point. 
* Inclusion of interaction effects on the dynamic within-level via the `incl_interaction_effects` argument in `mlts_model()`. Note that obtaining model formulas is not supported for these types of models at this point.
* Multiple group analyses by specifying the `group` argument in `mlts_model()`. 
* Loosen the previous restriction of allowing only bivariate VAR models with random innovation covariances. Models are still limited to the incorporation of only one latent factor capturing the innovation covariance, however, additional constructs can be added under the assumption of independent innovations.    
* Added option to include exogenous time-varying covariates (i.e., without latent-mean centering) using the `is_exogenous` argument in `mlts_model()`
* Add option to estimate models that assume censoring on the manifest indicators using the `censor_left` or `censor_right` arguments in `mlts_model()`.  
* Provide option to introduce equality constraints on loading parameters across levels in `mlts_model()` using `equal_loads_levels = TRUE` (i.e., fix between-level loading parameter of an indicator to match the respective within-level loading parameter).  
* Obtain posterior predictive samples using `mlts_posterior_sample()`
* Run posterior predictive checks `mlts_pp_check()` (still considered developmental).  
* Option to limit the number of consecutive missing values in the a subjects' time series to avoid excessive numbers of `NA`s thereby improving model estimation times.
* `mlts_fit()` now runs a small check to ensure that observed grand-means of `ts`-variables match prior distributions of the respective fixed effects. For multiple-indicator models a simple message is printed if any mean values fall outside the range of -10 to 10.  

### Changes 
* Shortened column names in `summary` output
* Reordered sections in `summary` output
* Redundant constraint removed from re-transformed (i.e., exponentiated) individual variances in stan models 
* When using `tinterval` in `mlts_fit()` now slices rows with `NA`s on all `ts`-variables prior to the creation of the time grid
* True values of population parameters using `mlts_sim()` with `default = TRUE` changed slightly.  

## mlts 1.0.0

* Initial CRAN submission.
