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mipfp (version 3.2.3)

Multidimensional Iterative Proportional Fitting and Alternative Models

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.

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Version

Install

install.packages('mipfp')

Monthly Downloads

4,102

Version

3.2.3

License

GPL-2

Issues

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Maintainer

Johan Barthelemy

Last Published

August 22nd, 2026

Functions in mipfp (3.2.3)

Odds2Corr

Converting odds ratio to correlation
Odds2PairProbs

Converting odds ratio to pairwise probability
spnamur

Synthetic population of Namur (Belgium)
RMultBinary

Simulating a multivariate Bernoulli distribution
flat

Flatten a table, array or matrix
summary.mipfp

Summarizing objects of class mipfp
expand

Expand a Table in a Data Frame
vcov.mipfp

Calculate variance-covariance matrix for mipfp objects
mipfp-package

Multidimensional Iterative Proportional Fitting and Alternative Models
gof.estimates

Wald, Log-likelihood ratio and Person Chi-square statistics for mipfp object
Corr2PairProbs

Converting correlation to pairwise probability
Qaqish

Qaqish
GetConfInt

Computing confidence intervals for the estimated counts and probabilities (deprecated)
ObtainMultBinaryDist

Generating a multivariate Bernoulli joint-distribution
Vector2Array

Transforming a vector to an array
Array2Vector

Transforming an array to a vector
error.margins

Extracts the deviation between every target and generated margin
Estimate

Update an N-way table given target margins
GetLinInd

Extracting the linearly independant columns from a matrix
IpfpCov

Covariance matrix of the estimators produced by Ipfp (deprecated)
ComputeA

Computes the marginal matrix A and margins vector m of an estimation problem
coef.mipfp

Extract the coefficients of the estimates from an object of class mipfp
confint.mipfp

Computing confidence intervals for the mipfp estimates
Ipfp

Multidimensional Iterative Proportional Fitting
ObtainModelEstimates

Estimating a contingency table using model-based approaches
Corr2Odds

Converting correlation to odds ratio
CompareMaxDev

Comparing deviations of mipfp objects