The function powRICLPM_Mplus has been superseded bypowRICLPM() where users can now set the argumentsoftware = "Mplus" to use Mplus for their power analysis. The old function has been removed in this version.
The bootstrap_reps argument of powRICLPMis 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The argument alpha has been superseded by thesignificance_criterion argument.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 packagesdplyr and purrr anymore.
The cli package is now used for error handling.
Slight speed and stability improvements when usingsoftware = "lavaan".
Analysis using lavaan now relies on the defaultlavTest settings. Setting lavTest totests = "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 yargument.
Mistakes in the model syntax of the estimation model when imposing stationarity constraints (usingconstraints = "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 adouble 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).