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)
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Details

Type Package
Date 2018-08-29
LazyData yes
License GPL-2
URL https://github.com/jojo-/mipfp
NeedsCompilation no
Packaged 2018-08-29 00:15:56 UTC; johan
Repository CRAN
Date/Publication 2018-08-29 08:10:07 UTC

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