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MixRF  

A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
View on CRAN: Click here


Download and install MixRF package within the R console
Install from CRAN:
install.packages("MixRF")

Install from Github:
library("remotes")
install_github("cran/MixRF")

Install by package version:
library("remotes")
install_version("MixRF", "1.0")



Attach the package and use:
library("MixRF")
Maintained by
Jiebiao Wang
[Scholar Profile | Author Map]
First Published: 2016-04-06
Latest Update: 2016-04-06
Description:
It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.
How to cite:
Jiebiao Wang (2016). MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data. R package version 1.0, https://cran.r-project.org/web/packages/MixRF. Accessed 14 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited MixRF R package
View MixRF citation profile
Other R packages that MixRF depends, imports, suggests or enhances
Complete documentation for MixRF
Functions, R codes and Examples using the MixRF R package
Some associated functions: MixRF-package . MixRF.impute . MixRF . sim . 
Some associated R codes: Full MixRF package functions and examples
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