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MixRF

A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

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.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 MixRF_1.0.tar.gz 98.2 KiB
1.0 rolling linux/noble R-4.5 MixRF_1.0.tar.gz 98.2 KiB
1.0 rolling source/ R- MixRF_1.0.tar.gz 73.0 KiB
1.0 latest linux/jammy R-4.5 MixRF_1.0.tar.gz 98.2 KiB
1.0 latest linux/noble R-4.5 MixRF_1.0.tar.gz 98.2 KiB
1.0 latest source/ R- MixRF_1.0.tar.gz 73.0 KiB
1.0 2026-04-26 source/ R- MixRF_1.0.tar.gz 73.0 KiB
1.0 2026-04-23 source/ R- MixRF_1.0.tar.gz 73.0 KiB
1.0 2026-04-09 windows/windows R-4.5 MixRF_1.0.zip 101.1 KiB
1.0 2025-04-20 source/ R- MixRF_1.0.tar.gz 73.0 KiB

Dependencies (latest)

Depends