All functions
check_targets	Check the targets and seed for compatibility before running ip_fit().
ip_create_seed	Create initial dataframe of all unique target series.
ip_expand	Wrapper function to create seed and perform iterative proportion fitting from N targets.
ip_fit	Iterative proportional fitting to scale seed values to multiple target subtotals.
ip_fit_sl	Iterative proportional fitting to scale seed values to multiple target subtotals.
ip_growth_transform	Scale data frame values to match growth targets over any series
ip_load_assumptions	Create all freeze and minmax assumption data frames from single data frame
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 frames
ip_mask_seed	Apply a layer of multiplicative masks to a seed.
ip_miss	Compare data frame to target subtotals and calculate absolute error.
ip_miss_a	Compare data frame to target subtotals and calculate absolute error.
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 series