acrhoads7/BucksM: Impute missing vaules using Buck's Method
The BucksM package implements Buck's Method (S.F. Buck, 1960). An extension of conditional mean imputation for multiple variable datasets. This package creates imputations for missing data via linear regression by missing group. Three functions determine missing pattern for dataset, calculate and predict defined linear model, and returns filled-in vaules for selected missing groups.
Getting started
Browse package contents
Package details |
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| Maintainer | The package maintainer <acrhoads7@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.0.0.9 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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