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mipfp

Multidimensional Iterative Proportional Fitting and Alternative Models

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.

Versions across snapshots

VersionRepositoryFileSize
3.2.1 rolling linux/jammy R-4.5 mipfp_3.2.1.tar.gz 383.0 KiB
3.2.1 rolling linux/noble R-4.5 mipfp_3.2.1.tar.gz 382.7 KiB
3.2.1 rolling source/ R- mipfp_3.2.1.tar.gz 160.4 KiB
3.2.1 latest linux/jammy R-4.5 mipfp_3.2.1.tar.gz 383.0 KiB
3.2.1 latest linux/noble R-4.5 mipfp_3.2.1.tar.gz 382.7 KiB
3.2.1 latest source/ R- mipfp_3.2.1.tar.gz 160.4 KiB
3.2.1 2026-04-26 source/ R- mipfp_3.2.1.tar.gz 160.4 KiB
3.2.1 2026-04-23 source/ R- mipfp_3.2.1.tar.gz 160.4 KiB
3.2.1 2026-04-09 windows/windows R-4.5 mipfp_3.2.1.zip 386.5 KiB
3.2.1 2025-04-20 source/ R- mipfp_3.2.1.tar.gz 160.4 KiB

Dependencies (latest)

Depends