Package: missForestPredict 1.0
Elena Albu
missForestPredict: Missing Value Imputation using Random Forest for Prediction Settings
Missing data imputation based on the 'missForest' algorithm (Stekhoven, Daniel J (2012) <doi:10.1093/bioinformatics/btr597>) with adaptations for prediction settings. The function missForest() is used to impute a (training) dataset with missing values and to learn imputation models that can be later used for imputing new observations. The function missForestPredict() is used to impute one or multiple new observations (test set) using the models learned on the training data.
Authors:
missForestPredict_1.0.tar.gz
missForestPredict_1.0.zip(r-4.5)missForestPredict_1.0.zip(r-4.4)missForestPredict_1.0.zip(r-4.3)
missForestPredict_1.0.tgz(r-4.4-any)missForestPredict_1.0.tgz(r-4.3-any)
missForestPredict_1.0.tar.gz(r-4.5-noble)missForestPredict_1.0.tar.gz(r-4.4-noble)
missForestPredict_1.0.tgz(r-4.4-emscripten)missForestPredict_1.0.tgz(r-4.3-emscripten)
missForestPredict.pdf |missForestPredict.html✨
missForestPredict/json (API)
| # Install 'missForestPredict' in R: |
| install.packages('missForestPredict', repos = c('https://sibipx.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sibipx/missforestpredict/issues
Last updated 9 months agofrom:0ed4a3ae48. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 08 2024 |
| R-4.5-win | OK | Sep 08 2024 |
| R-4.5-linux | OK | Sep 08 2024 |
| R-4.4-win | OK | Sep 08 2024 |
| R-4.4-mac | OK | Sep 08 2024 |
| R-4.3-win | OK | Sep 08 2024 |
| R-4.3-mac | OK | Sep 08 2024 |
Exports:calculate_convergencecheck_predictor_matrixcreate_predictor_matrixevaluate_imputation_errormissForestmissForestPredictproduce_NAprop_usable_cases
missForestPredict convergence criteria and error monitoring
Rendered frommissForestPredict_convergence_criteria_and_error_monitoring.Rmdusingknitr::rmarkdownon Sep 08 2024.Last update: 2023-12-08
Started: 2022-02-09
Using the missForestPredict package
Rendered frommissForestPredict_usage.Rmdusingknitr::rmarkdownon Sep 08 2024.Last update: 2023-12-11
Started: 2022-01-25
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculates convergence based on NMSE | calculate_convergence |
| Performs checks on a custom predictor matrix | check_predictor_matrix |
| Creates the default predictor matrix with 0 diagonal and 1 elements in the rest. | create_predictor_matrix |
| Evaluate the imputation error when true values are known. | evaluate_imputation_error |
| Imputes a dataframe and returns imputation models to be used on new observations | missForest |
| Imputes a new dataframe based on the missForest models | missForestPredict |
| Produces a dataframe with missing values | produce_NA |
| Calculates variable-wise proportion of usable cases (missing and observed) | prop_usable_cases |