I am trying to use R to create scatterplots of my data. I am using the effect_plot function (partial.residuals = TRUE) so that I can control for other variables in my plot, but I cannot figure out a way to estimate my missing data using full information maximum likelihood (FIML). Is there a way to do this in R?
Try using lavaan for modelling and then plot estimated values using your model?
See https://francish.netlify.app/post/accounting-for-missing-data/
I am not sure if I understood your question correctly. So you want to model something using FIML and what exactly is it, you want to plot?
Check the following
http://juliejosse.com/wp-content/uploads/2018/06/DataAnalysisMissingR.html
https://cran.r-project.org/web/packages/naniar/vignettes/naniar-visualisation.html