# powRICLPM 0.2.0

## Breaking changes

- The function
`powRICLPM_Mplus`

has been superseded by
`powRICLPM()`

where users can now set the argument
`software = "Mplus"`

to use Mplus for their power analysis.
The old function has been removed in this version.
- The
`bootstrap_reps`

argument of `powRICLPM`

is now deprecated. Instead, Monte Carlo standard errors are now based on
Morris et al. (2017), and available for all performance measures.
- The argument
`alpha`

has been superseded by the
`significance_criterion`

argument.

## Minor improvements and fixes

- The
`reliability`

argument can now take in a vector of
reliabilities to simulate performance metrics under various levels of
item reliability.
- The
`powRICLPM`

package now does not import the packages
`dplyr`

and `purrr`

anymore.
- The
`cli`

package is now used for error handling.
- Slight speed and stability improvements when using
`software = "lavaan"`

.
- Analysis using
`lavaan`

now relies on the default
`lavTest`

settings. Setting `lavTest`

to
`tests = "none"`

lead to errors on some computers.

# powRICLPM 0.1.1

## Minor improvements and
fixes

- Now includes the
`check_Phi()`

function, which users can
use to check if they have specified their `Phi`

matrix of
lagged-effects as intended.
`plot()`

now allows other performance measures, such as
bias, MSE, coverage, to be plotted through its `y`

argument.
- Mistakes in the model syntax of the estimation model when imposing
stationarity constraints (using
`constraints = "stationarity"`

) have now been corrected.

# powRICLPM 0.1.0

## New features

`powRICLPM`

can now save the generated data sets by
specifying a path with the `save_dat`

argument

## Minor improvements and
fixes

- The
`est_ME`

argument in `powRICLPM`

has been
renamed `estimate_ME`

.
- Internal model fitting using
`lavaan`

now skips certain
checks to speed up the process.
- The
`wSigma`

argument in `powRICLPM`

has been
replaced with the `within_cor`

argument. Now, only a
`double`

denoting the correlation between the
within-components needs to specified rather than a correlation
matrix.
- By default,
`powRICLPM`

now discards results from Monte
Carlo replications with inadmissible parameter results, unless bounded
estimation is used (`bounds = TRUE`

).