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.

Mistakes in the model syntax of the estimation model when imposing stationarity constraints (using constraints = "stationarity") have now been corrected.

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

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() 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.

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