#
missing-data
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Solve many kinds of least-squares and matrix-recovery problems
linear-regression
estimation
least-squares
imputation
outlier-detection
missing-data
matrix-completion
robust-pca
singular-value-decomposition
least-square-regression
nonnegative-matrix-factorization
robust-regresssion
total-least-square
robust-estimation
robust-statistics
errors-in-variables
missing-data-imputation
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Updated
Oct 29, 2023 - Julia
a package for missing data handling via multiple imputation by chained equations in Julia. It is heavily based on the R package {mice} by Stef van Buuren, Karin Groothuis-Oudshoorn and collaborators.
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Updated
May 22, 2024 - Julia
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