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mipfp: Multidimensional Iterative Proportional Fitting and AlternativeModels

An implementation of the iterative proportional fitting (IPFP), maximum likelihood, minimum chi-square and weighted least squares procedures for updating a N-dimensional array with respect to given target marginal distributions (which, in turn can be multidimensional). The package also provides an application of the IPFP to simulate multivariate Bernoulli distributions.

Version:3.2.1
Depends:cmm,Rsolnp,numDeriv, R (≥ 2.10.0)
Published:2018-08-29
DOI:10.32614/CRAN.package.mipfp
Author:Johan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Maintainer:Johan Barthelemy <johan at uow.edu.au>
License:GPL-2
URL:https://github.com/jojo-/mipfp
NeedsCompilation:no
Citation:mipfp citation info
In views:OfficialStatistics
CRAN checks:mipfp results

Documentation:

Reference manual:mipfp.html ,mipfp.pdf

Downloads:

Package source: mipfp_3.2.1.tar.gz
Windows binaries: r-devel:mipfp_3.2.1.zip, r-release:mipfp_3.2.1.zip, r-oldrel:mipfp_3.2.1.zip
macOS binaries: r-release (arm64):mipfp_3.2.1.tgz, r-oldrel (arm64):mipfp_3.2.1.tgz, r-release (x86_64):mipfp_3.2.1.tgz, r-oldrel (x86_64):mipfp_3.2.1.tgz
Old sources: mipfp archive

Reverse dependencies:

Reverse imports:migest,revengc,synthpop,whep
Reverse suggests:spdep,StatMatch

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mipfpto link to this page.


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