TY - JOUR
T1 - mipfp
T2 - An R package for multidimensional array fitting and simulating multivariate bernoulli distributions
AU - Barthélemy, Johan
AU - Suesse, Thomas
PY - 2018/1/1
Y1 - 2018/1/1
N2 - This paper explains the mipfp package for R with the core functionality of updating an d-dimensional array with respect to given target marginal distributions, which in turn can be multi-dimensional. The implemented methods include the iterative proportional fitting procedure (IPFP), the maximum likelihood method, the minimum chi-square and least squares procedures. The package also provides an application of the IPFP to simulate data from a multivariate Bernoulli distribution. The functionalities of the package are illustrated through two practical examples: the update of a 3-dimensional contingency table to match the targets for a synthetic population and the estimation and simulation of the joint distribution of the binary attribute impaired pulmonary function as used by Qaqish, Zink, and Preisser (2012).
AB - This paper explains the mipfp package for R with the core functionality of updating an d-dimensional array with respect to given target marginal distributions, which in turn can be multi-dimensional. The implemented methods include the iterative proportional fitting procedure (IPFP), the maximum likelihood method, the minimum chi-square and least squares procedures. The package also provides an application of the IPFP to simulate data from a multivariate Bernoulli distribution. The functionalities of the package are illustrated through two practical examples: the update of a 3-dimensional contingency table to match the targets for a synthetic population and the estimation and simulation of the joint distribution of the binary attribute impaired pulmonary function as used by Qaqish, Zink, and Preisser (2012).
KW - Iterative proportional fitting procedure
KW - Maximum likelihood
KW - Minimum chi-square
KW - Minimum least squares
KW - Multivariate bernoulli distributions
KW - R
UR - http://www.scopus.com/inward/record.url?scp=85053233595&partnerID=8YFLogxK
U2 - 10.18637/jss.v086.c02
DO - 10.18637/jss.v086.c02
M3 - Article
AN - SCOPUS:85053233595
SN - 1548-7660
VL - 86
JO - Journal of Statistical Software
JF - Journal of Statistical Software
ER -