Man pages for Sayani07/gravitas
Explore Probability Distributions for Bivariate Temporal Granularities
| compute_norm_pairwise_max | Title Compute normalised maximum pairwise distances |
| compute_pairwise_dist | Title computing all within and between facet distances... |
| compute_pairwise_max | Title Compute raw pairwise distances |
| compute_pairwise_norm | Title Compute normalised mmpd |
| compute_pairwise_norm_scalar | Title Compute scalar normalised pairwise distances |
| compute_quantiles | compute quantiles of data across categories |
| create_gran | Build dynamic temporal granularities |
| create_harmony_data | Create data for one harmony pair |
| create_harmony_tbl_data | Create data for all harmony pairs in a harmony table |
| cricket | Cricket data set for different seasons of Indian Premier... |
| distance_all_pairwise | computing all within and between facet distances between... |
| gran_advice | Advice summaries for granularities |
| gran_obs | Cross tabulation of granularities useful for validating if... |
| harmony | Get possible set of harmonies for a given tsibble |
| is_harmony | Check if two temporal granularities are harmonies |
| print.gran_advice | Advice summaries for granularities |
| prob_plot | Plotting probability distributions across granularities |
| prob_plot_nrow1 | Plotting probability distributions across granularities |
| reexports | Objects exported from other packages |
| run_app | Runs a shiny app demonstrating functionalities of gravitas |
| search_gran | Search for granularities |
| select_harmonies | Select harmonies with significant patterns |
| sim_panel | Simulate a panel of one or two categorical variables and a... |
| smart_meter10 | Smart meter data for ten households |
| validate_gran | Validate created granularities with existing columns |
| wpd | computes wpd for one harmony or harmony table chooses... |
| wpd_threshold | chooses threshold for a harmony table |
