generate_missing_scores: Algorithm in two steps: first step complete missing values on...
In antoinepay/foodx: Match your foods with Marmiton recipes
Description
Algorithm in two steps:
first step complete missing values on the continuous predictor variables with
an iterative PCA from missMDA package
second step is a linear regression trained on the dataset with the non missing nutrition score
and used to predict the missing ones
Usage
1
Value
a dataframe with barcode and corresponding grades
antoinepay/foodx documentation built on May 6, 2019, 4:30 p.m.
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Description
Algorithm in two steps: first step complete missing values on the continuous predictor variables with an iterative PCA from missMDA package second step is a linear regression trained on the dataset with the non missing nutrition score and used to predict the missing ones
Usage
1 |
Value
a dataframe with barcode and corresponding grades
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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