imputeSingleObservation: Make Cross-Validation Groups
In SWS-Methodology/faoswsImputation: Package to perform ensemble imputation for various FAO domains
Description
Usage
Arguments
Value
Description
Creates a vector of cross-validation groups to be used for leave-one-out
cross-validation in later models.
Usage
1
imputeSingleObservation(data, imputationParameters)
Arguments
data
A data.table object containing the data.
imputationParameters
A list of the parameters for the imputation
algorithms. See defaultImputationParameters() for a starting point.
Value
A new data table with time series containing sinlge
observation imputed.
SWS-Methodology/faoswsImputation documentation built on May 9, 2019, 11:48 a.m.
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.
Description Usage Arguments Value
Description
Creates a vector of cross-validation groups to be used for leave-one-out cross-validation in later models.
Usage
1 | imputeSingleObservation(data, imputationParameters)
|
Arguments
data |
A data.table object containing the data. |
imputationParameters |
A list of the parameters for the imputation algorithms. See defaultImputationParameters() for a starting point. |
Value
A new data table with time series containing sinlge observation imputed.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.