powRICLPM 0.2.0
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has been superseded by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has been superseded by the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
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
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
).