MERO: Perform Monte Carlo Expectation Maximization Random Forest...
In MERO: Performing Monte Carlo Expectation Maximization Random Forest Imputation for Biological Data
MERO R Documentation
Perform Monte Carlo Expectation Maximization Random Forest Imputation
Description
The function is used to impute the missing data using Monte Carlo Expectation Maximization Random Forest Imputation
Usage
MERO(Data, ntree = 100, Nsets = 5)
Arguments
Data
a data matrix with missing values. The columns correspond to the variables and the rows to the observations.
ntree
number of trees to grow in each forest.
Nsets
number of simulations/ data sets to be generated.
Value
A list containing data sets and imputed means, and imputed standard deviation.
Author(s)
Mohamed Soudy Mohmedsoudy2009@gmail.com
MERO documentation built on March 7, 2023, 5:40 p.m.
R Package Documentation
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| MERO | R Documentation |
Perform Monte Carlo Expectation Maximization Random Forest Imputation
Description
The function is used to impute the missing data using Monte Carlo Expectation Maximization Random Forest Imputation
Usage
MERO(Data, ntree = 100, Nsets = 5)
Arguments
Data |
a data matrix with missing values. The columns correspond to the variables and the rows to the observations. |
ntree |
number of trees to grow in each forest. |
Nsets |
number of simulations/ data sets to be generated. |
Value
A list containing data sets and imputed means, and imputed standard deviation.
Author(s)
Mohamed Soudy Mohmedsoudy2009@gmail.com
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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