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 |
| 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 |
| Reference manual: | mipfp.pdf |
| 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 imports: | revengc, synthpop |
| Reverse suggests: | StatMatch |
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