Nothing
summary.powRICLPM.parameter()
and summary.powRICLM.condition()
were misaligned due to a missing column name. 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.summary.powRICLPM()
about the interpretation of information in the summary table. 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has been superseded by powRICLPM()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.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. alpha
has been superseded by the significance_criterion
argument. reliability
argument can now take in a vector of reliabilities to simulate performance metrics under various levels of item reliability. powRICLPM
package now does not import the packages dplyr
and purrr
anymore. cli
package is now used for error handling. software = "lavaan"
. lavaan
now relies on the default lavTest
settings. Setting lavTest
to tests = "none"
lead to errors on some computers. 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.constraints = "stationarity"
) have now been corrected. powRICLPM
can now save the generated data sets by specifying a path with the save_dat
argumentest_ME
argument in powRICLPM
has been renamed estimate_ME
. lavaan
now skips certain checks to speed up the process. 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. powRICLPM
now discards results from Monte Carlo replications with inadmissible parameter results, unless bounded estimation is used (bounds = TRUE
). Any scripts or data that you put into this service are public.
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