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missCompare R package - intuitive missing data imputation framework

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R 4.2.3 with or without RStudio. Installing from CRAN: > install.packages("missCompare") Installing package into ‘C:/Users/pless/AppData/Local/R/win-library/4.2’ (as ‘lib’ is unspecified) --- Please select a CRAN mirror for use in this session...

Hi! I am using the package version 1.0.3 and I am able to run all methods except 11 and 15 where I get the following errors. Do you have any...

Thanks for the package! Love it. I was wondering whether it's possible to revert to original encodings that are replaced with `as.numeric()` in the `clean()` function? Anyway to get back...

I have all 0s in perc_obs_retained column when running metadata$min_PDM_thresholds. My dataset's parameters are: - rows: 317 - columns: 56 - complete cases: 284 - highest proportion of missingness per...

`BiocManager::install("pcaMethods")` is required.

Thank you for putting together a great package! I'm getting infinite or missing values in 'x' errors when I try to send the following data through the process: https://www.kaggle.com/pradeeptripathi/predicting-house-prices-using-r/data train

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Thank you for making this package! I have data (N ~ 13000) that is highly missing, monotone, and MNAR (for Gender (~10%) and Ethnicity (~80%)). I converted all `chr` features...

Hello, I try to use missCompare for imputation of a df with 100 individuals (cells here) and 27 variables. 1/ The pgm failed by saying that for Amelia II I...