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ezCutoffs 1.0.1
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changed the missing_data argument to logical.
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missing_data = “T” now also works correctly when not using missing =
“fiml” estimation, leading to list-wise deletion.
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simulation statistics now include information as to whether FIML
estimation or list-wise deletion was used.
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fixed a bug with the grouping variable in multigroup designs when no
empirical data is given.
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fixed a bug that forced standard Maximum Likelihood estimation in the
simulations.
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fixed a bug with the assignment of missings in the simulated data sets.
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split sub-functions internally.
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corrected handling of NAs in skewness/kurtosis function.
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updated plotting function, made it more accessible as a ggplot2 object.
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added empirical fit results to the output.
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They may not be fully stable and should be used with caution. We make no claims about them.