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 |
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: | migest, revengc, synthpop |
Reverse suggests: | StatMatch |
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