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mipfp: Multidimensional Iterative Proportional Fitting and Alternative Models

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.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
Reverse suggests: StatMatch

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mipfp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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