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: 3.1
Depends: cmm, Rsolnp, numDeriv, R (≥ 2.10.0)
Published: 2016-12-01
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
In views: OfficialStatistics
CRAN checks: mipfp results


Reference manual: mipfp.pdf
Package source: mipfp_3.1.tar.gz
Windows binaries: r-devel: mipfp_3.1.zip, r-release: mipfp_3.1.zip, r-oldrel: mipfp_3.1.zip
OS X El Capitan binaries: r-release: mipfp_3.1.tgz
OS X Mavericks binaries: r-oldrel: mipfp_3.1.tgz
Old sources: mipfp archive


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