knitr::opts_chunk$set(echo = TRUE)
This is the development repository for the imputeTestbench package. This package provides a testbench for comparing imputation methods for missing data in univariate time series.
The development version of this package can be installed from GitHub:
install.packages('devtools') library(devtools) install_github('neerajdhanraj/imputeTestbench', ref = 'development')
The current release can be installed from CRAN:
install.packages('imputeTestbench')
Load the package after installation:
library(imputeTestbench)
devtools::load_all()
The core function is impute_errors()
. See the help documentation for more details.
a <- impute_errors(data = nottem) a plot_errors(a, plotType = 'line')
Beck MW, Bokde N, Ascencio-Cortes G, Kulat K (2018). "R package imputeTestbench to Compare Imputation Methods for Univarite Time Series." The R Journal, 10(1), 218-233. doi: 10.32614/RJ-2018-024 (URL: http://doi.org/10.32614/RJ-2018-024).
Please submit any bug reports (or suggestions) using the issues tab of the GitHub page.
This package is released in the public domain under the creative commons license CC0.
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