Package: mlfit 0.6.1.9004

Amarin Siripanich

mlfit: Iterative Proportional Fitting Algorithms for Nested Structures

The Iterative Proportional Fitting (IPF) algorithm operates on count data. This package offers implementations for several algorithms that extend this to nested structures: 'parent' and 'child' items for both of which constraints can be provided. The fitting algorithms include Iterative Proportional Updating <https://trid.trb.org/view/881554>, Hierarchical IPF <doi:10.3929/ethz-a-006620748>, Entropy Optimization <https://trid.trb.org/view/881144>, and Generalized Raking <doi:10.2307/2290793>. Additionally, a number of replication methods is also provided such as 'Truncate, replicate, sample' <doi:10.1016/j.compenvurbsys.2013.03.004>.

Authors:Kirill Müller [aut, cph], Kay W. Axhausen [ths], Amarin Siripanich [aut, cre], Taha H. Rashidi [ths]

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Bug tracker:https://github.com/mlfit/mlfit/issues

On CRAN:

18 exports 14 stars 2.28 score 38 dependencies 15 scripts 274 downloads

Last updated 18 days agofrom:91bfa48fb2. Checks:OK: 7. Indexed: yes.

Exports:as_flat_ml_fit_problemcompute_marginsdssfitting_problemflatten_ml_fit_problemgginvis_ml_fitis_ml_problemmargin_to_dfml_fitml_fit_dssml_fit_entropy_oml_fit_hipfml_fit_ipuml_problemml_replicatespecial_field_namestoy_example

Dependencies:BBcachemclicodetoolscpp11crayondplyrfansifastmapforcatsgenericsgluehmskimisclatticelifecyclelobstrloggingmagrittrMatrixmemoisepillarpkgconfigplyrprettyunitspryrquadprogR6Rcpprlangstringistringrtibbletidyselectutf8vctrswithrwrswoR