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mlfit  

Iterative Proportional Fitting Algorithms for Nested Structures
View on CRAN: Click here


Download and install mlfit package within the R console
Install from CRAN:
install.packages("mlfit")

Install from Github:
library("remotes")
install_github("cran/mlfit")

Install by package version:
library("remotes")
install_version("mlfit", "0.5.3")



Attach the package and use:
library("mlfit")
Maintained by
Amarin Siripanich
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-02
Latest Update: 2021-10-08
Description:
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 , Hierarchical IPF , Entropy Optimization , and Generalized Raking . Additionally, a number of replication methods is also provided such as 'Truncate, replicate, sample' .
How to cite:
Amarin Siripanich (2021). mlfit: Iterative Proportional Fitting Algorithms for Nested Structures. R package version 0.5.3, https://cran.r-project.org/web/packages/mlfit. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.5.2 (2021-07-02 09:20)
Other packages that cited mlfit R package
View mlfit citation profile
Other R packages that mlfit depends, imports, suggests or enhances
Complete documentation for mlfit
Functions, R codes and Examples using the mlfit R package
Some associated functions: compute_margins . dss . fitting_problem . flatten_ml_fit_problem . gginv . ml_fit . ml_problem . ml_replicate . mlfit-package . toy_example . 
Some associated R codes: S3.R . flatten_ml_fit_problem.R . grake.R . margins.R . ml_fit.R . ml_fit_dss.R . ml_fit_entropy_o.R . ml_fit_hipf.R . ml_fit_ipu.R . ml_problem.R . ml_replicate.R . mlfit-package.R . toy.R . utils.R .  Full mlfit package functions and examples
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