jordanaron22/ImputingMetabolites: Compares R2 Value of Different Metabolite Imputation Methods
Pipeline to calculate and compare R2 values of different imputation methods. Starts with specified correlation matrices and up to 3 factors. Then generates metabolite data according to factor model and correlation. Some amount of metabolites are removed. Missing data is imputed with MICE and then factor analysis is run with 1-4 factors. At the end produces a data frame which compares the R2 value of each metabolite by factor and method. Methods examined are: ignoring study heterogeneity, MICE, MICE and factor analysis with 1-4 factors, and true correlation.
Getting started
Browse package contents
Package details |
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| Author | Jordan Aron |
| Maintainer | <aron0064@umn.edu> |
| License | CC0 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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