smirf-package: 'smirf': Single or multiple imputation of missing data using...

In stephematician/miForang: Single or multiple imputation of missing data using random forests

Description

This code is licensed under the MIT license https://www.r-project.org/Licenses/MIT, and you may use this package strictly under those terms

Author(s)

Stephen Wade [e-mail]

References

Stekhoven, D.J. and Buehlmann, P., 2012. MissForest–non-parametric missing value imputation for mixed-type data. Bioinformatics, 28(1), pp. 112-118. doi.1.1093/bioinformatics/btr597

Van Buuren, S., Brand, J.P., Groothuis-Oudshoorn, C.G. and Rubin, D.B., 2006. Fully conditional specification in multivariate imputation. Journal of statistical computation and simulation, 76(12), pp.1049-1064. doi.10.1080/10629360600810434

Wright, M. N. and Ziegler, A., 2017. ranger: A fast implementation of random forests for high dimensional data in C++ and R. Journal of Statistical Software, 77(i01), pp. 1-17. doi.10.18637/jss.v077.i01

stephematician/miForang documentation built on July 23, 2019, 5:11 p.m.