mipfp: Multidimensional Iterative Proportional Fitting and Alternative Models
Version 3.1

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.

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>
LicenseGPL-2
Version3.1
URL https://github.com/jojo-/mipfp
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mipfp")

Getting started

Package overview

Popular man pages

Corr2PairProbs: Converting correlation to pairwise probability
Estimate: Update an N-way table given target margins
flat: Flatten a table, array or matrix
gof.estimates: Wald, Log-likelihood ratio and Person Chi-square statistics...
Ipfp: Multidimensional Iterative Proportional Fitting
mipfp-package: Multidimensional Iterative Proportional Fitting and...
RMultBinary: Simulating a multivariate Bernoulli distribution
See all...

All man pages Function index File listing

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

Functions

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

Files

NAMESPACE
data
data/spnamur.RData
data/Qaqish.RData
R
R/s3_mipfp.R
R/utils.R
R/models.R
R/ipfp_multi_dim.R
R/binary.R
R/deprecated.R
MD5
DESCRIPTION
man
man/gof.estimates.Rd
man/Qaqish.Rd
man/Corr2Odds.Rd
man/error.margins.Rd
man/RMultBinary.Rd
man/Array2Vector.Rd
man/GetConfInt.Rd
man/ObtainMultBinaryDist.Rd
man/GetLinInd.Rd
man/flat.Rd
man/ObtainModelEstimates.Rd
man/Estimate.Rd
man/coef.mipfp.Rd
man/Odds2PairProbs.Rd
man/CompareMaxDev.Rd
man/Vector2Array.Rd
man/summary.mipfp.Rd
man/Ipfp.Rd
man/IpfpCov.Rd
man/vcov.mipfp.Rd
man/confint.mipfp.Rd
man/Odds2Corr.Rd
man/Corr2PairProbs.Rd
man/mipfp-package.Rd
man/expand.Rd
man/spnamur.Rd
man/ComputeA.Rd
mipfp documentation built on May 19, 2017, 6:36 p.m.

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