{"repo":"Polkas/miceFast","free":true,"listed":false,"github":"https://github.com/Polkas/miceFast","clone":"git clone https://github.com/Polkas/miceFast.git","description":"R enviroment - fast imputations :dragon:","language":"R","stars":19,"topics":["r","package","imputation","rcpp","rcpparmadillo","cpp","grouping","weighting","vif","fast-imputations"],"license":null,"category":"self-hosted-apps","readme_excerpt":"miceFast Author : Maciej Nasinski Check the miceFast website for more details Overview miceFast provides fast methods for imputing missing data, leveraging an object-oriented programming paradigm and optimized linear algebra routines. The package includes convenient helper functions compatible with data.table , dplyr , and other popular R packages. Major speed improvements occur when: - Using a grouping variable , where the data is automatically sorted by group, significantly reducing computation time. - Performing multiple imputations , by evaluating the underlying quantitative model only once for multiple draws. - Running Predictive Mean Matching (PMM) , thanks to presorting and binary search. For performance details, see performance validity.R in the extdata folder. Vignettes: - Introduction and Advanced Usage - Missing Data Mechanisms and Multiple Imputation Practical Advice - Only need a filled-in dataset for exploration or ML? A single imputation with fill NA() or averaging draws with fill NA N() is fast and convenient. For any inferential statement use full MI with pool() . - Little missing data + MCAR? Consider using complete.cases() . Listwise deletion is unbiased under MCAR and may be sufficient when the fraction of incomplete rows is small. - For publication , always run a sensitivity analysis : compare MI results against base methods ( complete.cases() , mean imputation) and across different imputation models ( lm bayes , lm noise , pmm ). Vary the number of imput","default_branch":null,"files":null,"tree":[],"storefront":"/r/Polkas","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Polkas/miceFast/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}