krlmlr/MultiLevelIPF: 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>.
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Package details |
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| Maintainer | |
| License | GPL (>= 3) |
| Version | 0.6.1.9003 |
| URL | https://mlfit.github.io/mlfit/ https://github.com/mlfit/mlfit |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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