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>.
Version: |
0.5.3 |
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 |
Published: |
2021-10-08 |
DOI: |
10.32614/CRAN.package.mlfit |
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 <amarin.siri at gmail.com> |
BugReports: |
https://github.com/mlfit/mlfit/issues |
License: |
GPL (≥ 3) |
URL: |
https://mlfit.github.io/mlfit/, https://github.com/mlfit/mlfit |
NeedsCompilation: |
no |
CRAN checks: |
mlfit results |