R: Iterative Proportional Fitting Algorithms for Nested Structures

# Iterative Proportional Fitting Algorithms for Nested Structures

## Documentation for package ‘mlfit’ version 0.5.3

- DESCRIPTION file

## Help Pages

mlfit-package | mlfit: Iterative Proportional Fitting Algorithms for Nested Structures
as_flat_ml_fit_problem | Return a flattened representation of a multi-level fitting problem instance
compute_margins | Compute margins for a weighting of a multi-level fitting problem
dss | Calibrate sample weights
flatten_ml_fit_problem | Return a flattened representation of a multi-level fitting problem instance
format.ml_fit | Estimate weights for a fitting problem
format.ml_problem | Create an instance of a fitting problem
gginv | Generalized Inverse of a Matrix using a custom tolerance or SVD implementation
is_ml_fit | Estimate weights for a fitting problem
is_ml_problem | Create an instance of a fitting problem
margin_to_df | Compute margins for a weighting of a multi-level fitting problem
mlfit | mlfit: Iterative Proportional Fitting Algorithms for Nested Structures
ml_fit | Estimate weights for a fitting problem
ml_fit_dss | Estimate weights for a fitting problem
ml_fit_entropy_o | Estimate weights for a fitting problem
ml_fit_hipf | Estimate weights for a fitting problem
ml_fit_ipu | Estimate weights for a fitting problem
ml_problem | Create an instance of a fitting problem
ml_replicate | Replicate records in a reference sample based on its fitted weights
print.ml_fit | Estimate weights for a fitting problem
print.ml_problem | Create an instance of a fitting problem
special_field_names | Create an instance of a fitting problem
toy_example | Access to toy examples bundled in this package