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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.

copied from cf-staging / r-mipfp
Type Size Name Uploaded Downloads Labels
conda 397.0 kB | noarch/r-mipfp-3.2.1-r44hc72bb7e_3.conda  7 months and 22 days ago 637 main
conda 377.8 kB | noarch/r-mipfp-3.2.1-r43hc72bb7e_3.conda  7 months and 22 days ago 640 main
conda 377.7 kB | noarch/r-mipfp-3.2.1-r43hc72bb7e_2.conda  1 year and 8 months ago 1048 main
conda 378.8 kB | noarch/r-mipfp-3.2.1-r42hc72bb7e_2.conda  1 year and 8 months ago 1058 main
conda 386.6 kB | noarch/r-mipfp-3.2.1-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1446 main
conda 386.5 kB | noarch/r-mipfp-3.2.1-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1411 main
conda 385.8 kB | noarch/r-mipfp-3.2.1-r41hc72bb7e_0.tar.bz2  3 years and 2 months ago 2016 main
conda 385.7 kB | noarch/r-mipfp-3.2.1-r40hc72bb7e_0.tar.bz2  3 years and 2 months ago 2003 main

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