Package: imputeTestbench 3.0.1

Marcus W. Beck

imputeTestbench: Test Bench for the Comparison of Imputation Methods

Provides a test bench for the comparison of missing data imputation methods in uni-variate time series. Imputation methods are compared using different error metrics. Proposed imputation methods and alternative error metrics can be used.

Authors:Neeraj Bokde [aut], Marcus W. Beck [cre, aut]

imputeTestbench_3.0.1.tar.gz
imputeTestbench_3.0.1.zip(r-4.5)imputeTestbench_3.0.1.zip(r-4.4)imputeTestbench_3.0.1.zip(r-4.3)
imputeTestbench_3.0.1.tgz(r-4.4-any)imputeTestbench_3.0.1.tgz(r-4.3-any)
imputeTestbench_3.0.1.tar.gz(r-4.5-noble)imputeTestbench_3.0.1.tar.gz(r-4.4-noble)
imputeTestbench_3.0.1.tgz(r-4.4-emscripten)imputeTestbench_3.0.1.tgz(r-4.3-emscripten)
imputeTestbench.pdf |imputeTestbench.html✨
imputeTestbench/json (API)

# Install 'imputeTestbench' in R:

install.packages('imputeTestbench', repos = c('https://neerajdhanraj.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/neerajdhanraj/imputetestbench/issues

On CRAN:

5.15 score 5 stars 2 packages 20 scripts 4.7k downloads 7 exports 64 dependencies

Last updated 7 years agofrom:0fe2213743. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 14 2024
R-4.5-win	OK	Nov 14 2024
R-4.5-linux	OK	Nov 14 2024
R-4.4-win	OK	Nov 14 2024
R-4.4-mac	OK	Nov 14 2024
R-4.3-win	OK	Nov 14 2024
R-4.3-mac	OK	Nov 14 2024

Exports:impute_errors mae mape plot_errors plot_impute rmse sample_dat

Dependencies:cli colorspace commonmark cpp11 curl dplyr fansi farver forecast fracdiff generics ggplot2 ggtext glue gridtext gtable imputeTS isoband jpeg jsonlite labeling lattice lifecycle lmtest magrittr markdown MASS Matrix mgcv munsell nlme nnet pillar pkgconfig plyr png purrr quadprog quantmod R6 RColorBrewer Rcpp RcppArmadillo reshape2 rlang scales stinepack stringi stringr tibble tidyr tidyselect timeDate tseries TTR urca utf8 vctrs viridisLite withr xfun xml2 xts zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Function working as testbench for comparison of imputing models	impute_errors
Mean Absolute Error Calculation	mae
Mean Absolute Percent Error Calculation	mape
Function to plot the Error Comparison	plot_errors plot_errors.errprof
Plot imputations	plot_impute
Print method for errprof	print.errprof
Root Mean Square Error Calculation	rmse
Sample time series data	sample_dat