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mipfp
View on CRAN: Click
here
Download and install mipfp package within the R console
Install from CRAN:
install.packages("mipfp")
Install from Github:
library("remotes")
install_github("cran/mipfp") Install by package version:
library("remotes")
install_version("mipfp", "3.2.1") Attach the package and use:
library("mipfp")
Maintained by
Johan Barthelemy
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-12-01
Latest Update: 2018-08-29
Description:
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.
How to cite:
Johan Barthelemy (2014). mipfp: Multidimensional Iterative Proportional Fitting and Alternative Models. R package version 3.2.1, https://cran.r-project.org/web/packages/mipfp. Accessed 15 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for mipfp
Functions, R codes and Examples using
the mipfp R package
Some associated functions: Array2Vector . CompareMaxDev . ComputeA . Corr2Odds . Corr2PairProbs . Estimate . GetConfInt . GetLinInd . Ipfp . IpfpCov . ObtainModelEstimates . ObtainMultBinaryDist . Odds2Corr . Odds2PairProbs . Qaqish . RMultBinary . Vector2Array . coef.mipfp . confint.mipfp . error.margins . expand . flat . gof.estimates . mipfp-package . spnamur . summary.mipfp . vcov.mipfp .
Some associated R codes: binary.R . deprecated.R . ipfp_multi_dim.R . models.R . s3_mipfp.R . utils.R . Full mipfp package functions and examples
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