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>.
|Author||Kirill Müller [aut, cph] (Creator of the package), Kay W. Axhausen [ths] (Advisor of Kirill Müller), Amarin Siripanich [aut, cre] (Contributed `ml_replicate()`), Taha H. Rashidi [ths] (Advisor of Amarin Siripanich)|
|Maintainer||Amarin Siripanich <firstname.lastname@example.org>|
|License||GPL (>= 3)|
|Package repository||View on CRAN|
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