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hdImpute
View on CRAN: Click
here
Download and install hdImpute package within the R console
Install from CRAN:
install.packages("hdImpute")
Install from Github:
library("remotes")
install_github("cran/hdImpute")
Install by package version:
library("remotes")
install_version("hdImpute", "0.2.1")
Attach the package and use:
library("hdImpute")
Maintained by
Philip Waggoner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-07
Latest Update: 2023-08-07
Description:
A correlation-based batch process for fast, accurate imputation for high dimensional missing data problems via chained random forests. See Waggoner (2023) <doi:10.1007/s00180-023-01325-9> for more on 'hdImpute', Stekhoven and Bühlmann (2012) <doi:10.1093/bioinformatics/btr597> for more on 'missForest', and Mayer (2022) <https://github.com/mayer79/missRanger> for more on 'missRanger'.
How to cite:
Philip Waggoner (2022). hdImpute: A Batch Process for High Dimensional Imputation. R package version 0.2.1, https://cran.r-project.org/web/packages/hdImpute
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Other R packages that hdImpute depends,
imports, suggests or enhances
Functions, R codes and Examples using
the hdImpute R package
Some associated functions: check_feature_na . check_row_na . feature_cor . flatten_mat . hdImpute . impute_batches . mad .
Some associated R codes: globals.R . hdImpute.R . mad.R . na_checks.R . zzz.R . Full hdImpute package functions and examples
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