Function reference • MultiLevelIPF

Multi-level fitting
`MultiLevelIPF-package`	MultiLevelIPF: Implementation of algorithms that extend IPF to nested structures
`toy_example()`	Access to toy examples bundled in this package
`fitting_problem()` `is.fitting_problem()` `format(<fitting_problem>)` `print(<fitting_problem>)` `special_field_names()`	Create an instance of a fitting problem
`flatten_ml_fit_problem()` `as.flat_ml_fit_problem()`	Return a flattened representation of a multi-level fitting problem instance
`ml_fit()` `ml_fit_dss()` `ml_fit_entropy_o()` `ml_fit_hipf()` `ml_fit_ipu()` `is.ml_fit()`	Estimate weights for a fitting problem
`ml_replicate()`	Replicate records in a reference sample based on its fitted weights
`compute_margins()` `margin_to_df()`	Compute margins for a weighting of a multi-level fitting problem
Generalized raking
`dss()`	Calibrate sample weights
`gginv()`	Generalized Inverse of a Matrix using a custom tolerance or SVD implementation

Reference