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.

Install the latest version of this package by entering the following in R:
AuthorJohan Barthelemy [aut, cre], Thomas Suesse [aut], Mohammad Namazi-Rad [ctb]
Date of publication2016-12-01 08:28:31
MaintainerJohan Barthelemy <johan@uow.edu.au>

View on CRAN

Man pages

Array2Vector: Transforming an array to a vector

coef.mipfp: Extract the coefficients of the estimates from an object of...

CompareMaxDev: Comparing deviations of mipfp objects

ComputeA: Computes the marginal matrix A and margins vector m of an...

confint.mipfp: Computing confidence intervals for the mipfp estimates

Corr2Odds: Converting correlation to odds ratio

Corr2PairProbs: Converting correlation to pairwise probability

error.margins: Extracts the deviation between every target and generated...

Estimate: Update an N-way table given target margins

expand: Expand a Table in a Data Frame

flat: Flatten a table, array or matrix

GetConfInt: Computing confidence intervals for the estimated counts and...

GetLinInd: Extracting the linearly independant columns from a matrix

gof.estimates: Wald, Log-likelihood ratio and Person Chi-square statistics...

Ipfp: Multidimensional Iterative Proportional Fitting

IpfpCov: Covariance matrix of the estimators produced by Ipfp...

mipfp-package: Multidimensional Iterative Proportional Fitting and...

ObtainModelEstimates: Estimating a contingency table using model-based approaches

ObtainMultBinaryDist: Generating a multivariate Bernoulli joint-distribution

Odds2Corr: Converting odds ratio to correlation

Odds2PairProbs: Converting odds ratio to pairwise probability

Qaqish: Qaqish

RMultBinary: Simulating a multivariate Bernoulli distribution

spnamur: Synthetic population of Namur (Belgium)

summary.mipfp: Summarizing objects of class mipfp

vcov.mipfp: Calculate variance-covariance matrix for mipfp objects

Vector2Array: Transforming a vector to an array


Array2Vector Man page
Bernoulli Man page
coef.mipfp Man page
CompareMaxDev Man page
ComputeA Man page
confint.mipfp Man page
Corr2Odds Man page
Corr2PairProbs Man page
error.margins Man page
error.margins.default Man page
error.margins.mipfp Man page
Estimate Man page
expand Man page
expand.default Man page
expand.table Man page
flat Man page
flat.array Man page
flat.default Man page
flat.matrix Man page
flat.table Man page
GetConfInt Man page
GetLinInd Man page
gof.estimates Man page
gof.estimates.default Man page
gof.estimates.mipfp Man page
Ipfp Man page
IpfpCov Man page
mipfp Man page
mipfp-package Man page
ObtainModelEstimates Man page
ObtainMultBinaryDist Man page
Odds2Corr Man page
Odds2PairProbs Man page
print.mipfp Man page
print.summary.mipfp Man page
Qaqish Man page
RMultBernoulli Man page
RMultBinary Man page
spnamur Man page
summary.mipfp Man page
vcov.mipfp Man page
Vector2Array Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.