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Changelog

Source: NEWS.md

powRICLPM (development version)

Minor improvements and fixes

  • Fixed a bug in version 0.2.0, in which some of the column names of the summary tables from summary.powRICLPM.parameter() and summary.powRICLM.condition() were misaligned due to a missing column name.
  • Fixed a bug in version 0.2.0, in which population values were not correctly parsed when setting the constraints = ... argument of powRICLPM() to anything other than constraints = "none" (the default). This resulted in incorrect estimates of bias, mean square error (MSE), and coverage (Cover). Estimates of power, minimum estimate (Min), empirical standard deviation (SD), average standard error (SE Avg) and accuracy were unaffected and thus remained valid.
  • Added additional documentation to summary.powRICLPM() about the interpretation of information in the summary table.

powRICLPM 0.2.0

CRAN release: 2024-09-25

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  • The function powRICLPM_Mplus has been superseded by powRICLPM() where users can now set the argument software = "Mplus" to use Mplus for their power analysis.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  • The argument alpha has been superseded by the significance_criterion argument.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

CRAN release: 2023-02-07

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

CRAN release: 2022-10-07

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).