Number of granularities that can be analyzed for the contexts
create_gran()
Build dynamic temporal granularities
search_gran()
Search for granularities
validate_gran()
Validate created granularities with existing columns
How granularities interact with each other? Are they harmonies/clashes?
is_harmony()
Check if two temporal granularities are harmonies
harmony()
Get possible set of harmonies for a given tsibble
gran_obs()
Cross tabulation of granularities useful for validating if number of observations are sufficient to compute probability distributions
Visualise probability distribution of time series data across these granularities to obtain insights on periodic behavior
gran_advice()
Advice summaries for granularities
prob_plot()
Plotting probability distributions across granularities
Runs a shiny app demonstrating functionalities of gravitas
run_app()
smart_meter10
Smart meter data for ten households
cricket
Cricket data set for different seasons of Indian Premier League