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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