mipfp v3.2.1

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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.

Functions in mipfp

 Name Description Ipfp Multidimensional Iterative Proportional Fitting Corr2Odds Converting correlation to odds ratio ComputeA Computes the marginal matrix A and margins vector m of an estimation problem vcov.mipfp Calculate variance-covariance matrix for mipfp objects ObtainModelEstimates Estimating a contingency table using model-based approaches ObtainMultBinaryDist Generating a multivariate Bernoulli joint-distribution Vector2Array Transforming a vector to an array coef.mipfp Extract the coefficients of the estimates from an object of class mipfp gof.estimates Wald, Log-likelihood ratio and Person Chi-square statistics for mipfp object spnamur Synthetic population of Namur (Belgium) mipfp-package Multidimensional Iterative Proportional Fitting and Alternative Models Corr2PairProbs Converting correlation to pairwise probability GetConfInt Computing confidence intervals for the estimated counts and probabilities (deprecated) Estimate Update an N-way table given target margins Array2Vector Transforming an array to a vector summary.mipfp Summarizing objects of class mipfp GetLinInd Extracting the linearly independant columns from a matrix confint.mipfp Computing confidence intervals for the mipfp estimates Odds2Corr Converting odds ratio to correlation error.margins Extracts the deviation between every target and generated margin CompareMaxDev Comparing deviations of mipfp objects Odds2PairProbs Converting odds ratio to pairwise probability Qaqish Qaqish RMultBinary Simulating a multivariate Bernoulli distribution expand Expand a Table in a Data Frame flat Flatten a table, array or matrix IpfpCov Covariance matrix of the estimators produced by Ipfp (deprecated) No Results!