A collection of tools that support data splitting, predictive modeling, and model evaluation. A typical function is to split a dataset into a training dataset and a test dataset. Then compare the data distribution of the two datasets. Another feature is to support the development of predictive models and to compare the performance of several predictive models, helping to select the best model.
| Version: | 0.3.9 |
| Depends: | R (≥ 3.2.0), ggplot2 (≥ 3.0.0), randomForest |
| Imports: | caTools, cli (≥ 1.1.0), dlookr, dplyr (≥ 0.7.6), future, ggmosaic, MASS, MLmetrics, methods, parallelly, party, purrr, ROCR, ranger, rlang, rpart, stats, tibble, tidyr, tidyselect, xgboost, glmnet |
| Suggests: | knitr, ISLR, mice, mlbench, rmarkdown, stringi |
| Published: | 2024-02-11 |
| DOI: | 10.32614/CRAN.package.alookr |
| Author: | Choonghyun Ryu [aut, cre] |
| Maintainer: | Choonghyun Ryu <choonghyun.ryu at gmail.com> |
| BugReports: | https://github.com/choonghyunryu/alookr/issues |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | alookr results |
| Reference manual: | alookr.pdf |
| Vignettes: |
Cleansing the dataset Introduce alookr Classification Modeling Splitting the dataset |
| Package source: | alookr_0.3.9.tar.gz |
| Windows binaries: | r-devel: alookr_0.3.9.zip, r-release: alookr_0.3.9.zip, r-oldrel: alookr_0.3.9.zip |
| macOS binaries: | r-release (arm64): alookr_0.3.9.tgz, r-oldrel (arm64): alookr_0.3.9.tgz, r-release (x86_64): alookr_0.3.9.tgz, r-oldrel (x86_64): alookr_0.3.9.tgz |
| Old sources: | alookr archive |
Please use the canonical form https://CRAN.R-project.org/package=alookr to link to this page.