A personal R package of miscellaneous data science functions
Install from GitHub with:
# install.packages("remotes")
remotes::install_github("ercbk/ebtools")| Function | Description | Complementary Packages |
|---|---|---|
| Geospatial | ||
| add_spatial_lags | Adds spatial lags of a numeric variable to a dataframe | spdep |
| Preprocessing | ||
| to_js_array | Creates js array column. | dataui |
| Statistics | ||
| cles | Calculates the Common Language Effect Size (CLES) | |
| get_boot_ci | Calculates bootstrapped confidence intervals for a statistic. | |
| Time Series | ||
| add_mase_scale_feat | Adds a scale feature by using a factor derived from the MASE error function | |
| add_tsfeatures | Adds 20 time series features from the tsfeatures package | |
| create_dtw_grids | Creates a nested, parameter grid list. | dtwclust dtw |
| descale_by_mase | Back-transforms a group time series that has been scaled by a factor derived from the MASE error function. | |
| dtw_dist_gridsearch | Performs a grid search using a list of parameter grids and a list of distance functions | dtwclust dtw |
| prewhitened_ccf | Prewhitens time series, calculates cross-correlation coefficients, and returns statistically significant values. | |
| scale_by_mase | Scales a group time series by using a factor derived from the MASE error function. | |
| test_fable_resids | Checks residuals of multiple fable models for autocorrelation using the Ljung-Box test | fable |
| test_lm_resids | Checks residuals of multiple lm models for autocorrelation using Breusch-Godfrey and Durbin-Watson tests. | |