Last data update: 2014.03.03

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CALIBERrfimpute : Multiple imputation using MICE and Random Forest

Package: CALIBERrfimpute
Type: Package
Title: Multiple imputation using MICE and Random Forest
Version: 0.1-6
Date: 2014-04-28
Authors@R: c(person("Anoop", "Shah", role=c("aut", "cre"), email=""),
person("Jonathan", "Bartlett", role="ctb"),
person("Harry", "Hemingway", role="ths"),
person("Owen", "Nicholas", role="ths"),
person("Aroon", "Hingorani", role="ths"))
Description: Functions to impute using Random Forest under Full Conditional Specifications (Multivariate Imputation by Chained Equations). The CALIBER programme is funded by the Wellcome Trust (086091/Z/08/Z) and the National Institute for Health Research (NIHR) under its Programme Grants for Applied Research programme (RP-PG-0407-10314). The author is supported by a Wellcome Trust Clinical Research Training Fellowship (0938/30/Z/10/Z).
License: GPL-3
Depends: mice (>= 2.20)
Imports: mvtnorm, randomForest
Suggests: missForest, rpart, survival, xtable
Author: Anoop Shah [aut, cre],
Jonathan Bartlett [ctb],
Harry Hemingway [ths],
Owen Nicholas [ths],
Aroon Hingorani [ths]
Maintainer: Anoop Shah <>
Repository: CRAN
Repository/R-Forge/Project: caliberanalysis
Repository/R-Forge/Revision: 41
Repository/R-Forge/DateTimeStamp: 2014-04-30 11:27:26
Date/Publication: 2014-05-07 19:26:43
Packaged: 2014-04-30 12:36:41 UTC; rforge
NeedsCompilation: no

● Data Source: CranContrib
● 0 images, 6 functions, 0 datasets
● Reverse Depends: 0