| check_targets | Check the targets and seed for compatibility before running... |
| group_by_not | Group by all variables except those listed |
| ia_cast | Use one vector to fore- or backcast another vector |
| ia_scale | A scale the sum or product of a vector to another value |
| ip_backcast | Use one data value series to backcast other series |
| ip_create_seed | Create initial dataframe of all unique target series. |
| ip_expand | Wrapper function to create seed and perform iterative... |
| ip_fit | Iterative proportional fitting to scale seed values to... |
| ip_fit_sl | Iterative proportional fitting to scale seed values to... |
| ip_growth_transform | Scale data frame values to match growth targets over any... |
| ip_load_assumptions | Create all freeze and minmax assumption data frames from... |
| ip_load_mask_a | Convert a data frame of seed masks to individual data frames |
| ip_load_slice_a | Convert a data frame of slice targets to individual data... |
| ip_mask_seed | Apply a layer of multiplicative masks to a seed. |
| ip_miss | Compare data frame to target subtotals and calculate absolute... |
| ip_miss_a | Compare data frame to target subtotals and calculate absolute... |
| ip_scale | Single target scale function calling external dataframe. |
| ip_scale_a | Single target scale function using single data frame. |
| ip_shares_calc | Scale data frame values to shares over specified series |
| ip_shares_tot | Create a generic share target of 1, dropping component series |
| ip_shares_transform | Scale data frame values to match share targets over any... |
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