Package: imputeTestbench 3.0.1
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:
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://fawda123.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/neerajdhanraj/imputetestbench/issues
Last updated 7 years agofrom:0fe2213743. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 14 2024 |
R-4.5-win | OK | Aug 14 2024 |
R-4.5-linux | OK | Aug 14 2024 |
R-4.4-win | OK | Aug 14 2024 |
R-4.4-mac | OK | Aug 14 2024 |
R-4.3-win | OK | Aug 14 2024 |
R-4.3-mac | OK | Aug 14 2024 |
Exports:impute_errorsmaemapeplot_errorsplot_imputermsesample_dat
Dependencies:clicolorspacecommonmarkcpp11curldplyrfansifarverforecastfracdiffgenericsggplot2ggtextgluegridtextgtableimputeTSisobandjpegjsonlitelabelinglatticelifecyclelmtestmagrittrmarkdownMASSMatrixmgcvmunsellnlmennetpillarpkgconfigplyrpngpurrrquadprogquantmodR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstinepackstringistringrtibbletidyrtidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxfunxml2xtszoo
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 |