Imputation in tidyLPA
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Lisa Weik
Jan 11, 2021, 5:51:02 AM1/11/21
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Dear all,
For my master thesis in educational psychology I am doing a latent profile analysis with the tidylpa package which produced promising results. However, as I might want to use the results to write a journal article I would love to better understand the imputation mechanism in place when using single_imputation() as described in the vignette. What kind of imputation is happening - does this use the mean value for missing values or how are data points imputed?
Would be great if you could provide a detailed explanation of how the imputation is conducted in order for me to understand my results better.
Thanks and best
Lisa Weik
For my master thesis in educational psychology I am doing a latent profile analysis with the tidylpa package which produced promising results. However, as I might want to use the results to write a journal article I would love to better understand the imputation mechanism in place when using single_imputation() as described in the vignette. What kind of imputation is happening - does this use the mean value for missing values or how are data points imputed?
Would be great if you could provide a detailed explanation of how the imputation is conducted in order for me to understand my results better.
Thanks and best
Lisa Weik
Caspar van Lissa
Jan 11, 2021, 5:53:53 AM1/11/21
to tidyLPA
You will find your answers in the function documentation. Run ?tidyLPA::single_imputation which will take you to ?mclust::imputeData which will refer you to ?mix::imp.mix and the book by Schafer, J. L. (1996) Analysis of Incomplete Multivariate Data. Chapman \& Hall, Chapter 9.
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