Package index • mlfit

Multi-level fitting
`mlfit` `mlfit-package`	mlfit: Iterative Proportional Fitting Algorithms for Nested Structures
`toy_example()`	Access to toy examples bundled in this package
`ml_problem()` `is_ml_problem()` `format(<ml_problem>)` `print(<ml_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()` `is_ml_fit()` `format(<ml_fit>)` `print(<ml_fit>)` `ml_fit_dss()` `ml_fit_entropy_o()` `ml_fit_hipf()` `ml_fit_ipu()`	Estimate weights for a fitting problem
Replication
`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