# powRICLPM 0.1.1

## Minor improvements

- 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.

## Bug fixes

- 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`

).

# powRICLPM 0.0.0.9004

## New features

`powRICLPM()`

can now set the reliability of the observed
variables for the generated data through the `reliability`

argument (i.e., include measurement error).
`powRICLPM()`

can estimate measurement errors by setting
`est_ME = TRUE`

.
`powRICLPM()`

quantifies the uncertainty around the
simulated power through non-parametric bootstrapping.
`powRICLPM()`

now allows for various estimators
implemented in `lavaan`

.
`give(from = ..., what = "...")`

is implemented to
extract various bits of information from a `powRICLPM`

object.

## Minor improvements and
fixes

`check_N()`

now takes imposed constraints into account to
create more informative error messages (@dbaranger, #1).
`summary.powRICLPM()`

now tabulates the output.

# powRICLPM 0.0.0.9003

- Original GitHub release of the Beta-version of
`powRICLPM`

on May 17th, 2022.