tofaquih/imputation_of_untargeted_metabolites: Official Release v1.4

Update 2022 03 11

• Added two new functions: 1) use_covars: Logical. Optional. Whether the covars will be used to impute the missing values in the metabolites. Default = FALSE. 2) maxN_input: sets the max number of ccm metabolites to be used for the imputation. Default is 10. Is overridden if covars_only_mode == TRUE. Useful in case of collinear/constant variables.

• Added a line for makeing a prediction matrix (make.predictorMatrix(minidf)

• Added a collinearity issue check. It will be returned from the output object #$Msummary$collinear

• Msummary also returns the loggedEvents from the Mice function (mice package)

• Script is compatible with R 4.1.0

• Script tested on Nightingale data

Full Changelog: https://github.com/tofaquih/imputation_of_untargeted_metabolites/compare/v1.3...v1.4