Iterative Proportional Fitting Algorithms for Nested Structures R package mlfit version 0.5.3 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>. Software Depends: methods Imports: BB, dplyr, hms, kimisc, Matrix, plyr, tibble, forcats, rlang, utils, wrswoR, lifecycle Suggests: covr, testthat (>= 3.0.0), MASS, sampling, XML, waldo Amarin Siripanich <amarin.siri@gmail.com> Comprehensive R Archive Network (CRAN) 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) GPL (>= 3) 2021-10-08 application/tgz https://CRAN.R-project.org/package=mlfit doi:10.32614/CRAN.package.mlfit