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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  8 months and 5 days ago 670 main
conda 377.8 kB | noarch/r-mipfp-3.2.1-r43hc72bb7e_3.conda  8 months and 5 days ago 661 main
conda 377.7 kB | noarch/r-mipfp-3.2.1-r43hc72bb7e_2.conda  1 year and 8 months ago 1066 main
conda 378.8 kB | noarch/r-mipfp-3.2.1-r42hc72bb7e_2.conda  1 year and 8 months ago 1077 main
conda 386.6 kB | noarch/r-mipfp-3.2.1-r42hc72bb7e_1.tar.bz2  2 years and 5 months ago 1465 main
conda 386.5 kB | noarch/r-mipfp-3.2.1-r41hc72bb7e_1.tar.bz2  2 years and 5 months ago 1428 main
conda 385.8 kB | noarch/r-mipfp-3.2.1-r41hc72bb7e_0.tar.bz2  3 years and 2 months ago 2036 main
conda 385.7 kB | noarch/r-mipfp-3.2.1-r40hc72bb7e_0.tar.bz2  3 years and 2 months ago 2022 main

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