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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>.

Versions across snapshots

VersionRepositoryFileSize
0.5.3 rolling linux/jammy R-4.5 mlfit_0.5.3.tar.gz 228.3 KiB
0.5.3 rolling linux/noble R-4.5 mlfit_0.5.3.tar.gz 228.2 KiB
0.5.3 rolling source/ R- mlfit_0.5.3.tar.gz 137.9 KiB
0.5.3 latest linux/jammy R-4.5 mlfit_0.5.3.tar.gz 228.3 KiB
0.5.3 latest linux/noble R-4.5 mlfit_0.5.3.tar.gz 228.2 KiB
0.5.3 latest source/ R- mlfit_0.5.3.tar.gz 137.9 KiB
0.5.3 2026-04-26 source/ R- mlfit_0.5.3.tar.gz 137.9 KiB
0.5.3 2026-04-23 source/ R- mlfit_0.5.3.tar.gz 137.9 KiB
0.5.3 2026-04-09 windows/windows R-4.5 mlfit_0.5.3.zip 233.1 KiB
0.5.3 2025-04-20 source/ R- mlfit_0.5.3.tar.gz 137.9 KiB

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