Hi Friends,
Have a look over R package "imputeTestbench". It provides a Test bench
for
comparison of missing data imputation models/methods. It compares imputing
methods with reference to RMSE, MAE or MAPE parameters. It allows to add
new proposed methods to test bench and to compare with other methods. The
function 'append_method()' allows to add multiple numbers of methods to
the
existing methods available in test bench.
CRAN: https://cran.r-project.org/package=imputeTestbench
GitHub: https://github.com/neerajdhanraj/imputeTestbench
How to Use:
https://www.researchgate.net/publication/305767990_R_package_%27imputeTestbench%27_as_a_Testbench_to_compare_missing_value_imputation_methods
The current version is talking about univariate dataset imputation. Very
next version will allow user to operate it on any type of dataset including
multivariate datset.
For more detail contact me at:
http://www.neerajbokde.com/?
--
Regards ,
*Neeraj Dhanraj Bokde *
*M.E. Embedded System*
*Birla Institute of Technology & Science,* Pilani
Pilani Campus , Rajasthan, India
Phone: *+91 9028415974*
Email: h2012105 at pilani.bits-pilani.ac.in; *neerajdhanraj at gmail.com
<neerajdhanraj at gmail.com>*
Website: http://www.neerajbokde.com
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