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 , Entropy Optimization < https://trid.trb.org/view/881144>, and Generalized Raking . Additionally, a number of replication methods is also provided such as 'Truncate, replicate, sample' .


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install.packages("mlfit")

0.5.2 by Amarin Siripanich, a month ago


https://mlfit.github.io/mlfit/, https://github.com/mlfit/mlfit


Report a bug at https://github.com/mlfit/mlfit/issues


Browse source code at https://github.com/cran/mlfit


Authors: 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)


Documentation:   PDF Manual  


GPL (>= 3) license


Imports BB, dplyr, hms, kimisc, Matrix, plyr, tibble, forcats, rlang, utils, wrswoR, lifecycle

Depends on methods

Suggests covr, testthat, MASS, sampling, XML, waldo


See at CRAN