fmm fits a finite mixture regression model using maximum likelihood estimation. The model is a J-component finite mixture of densities, with the density within a class (j) allowed to vary in location and scale. Optionally, the mixing probabilities may be specified with covariates. fmm currently fits mixtures of the following distributions: Gamma, Normal (Gaussian), Negative binomial 1 & 2 (mean and constant dispersion), Poisson, Student-t (with fixed degrees of freedom)
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number
S456895.
Size: Programming language: Stata Requires: Stata version 9.2 Date of creation: 11 Dec 2007 Date of revision:
08 Oct 2008 Handle: RePEc:boc:bocode:s456895
Note: This module may be installed from within Stata by typing "ssc install fmm". Windows users should not attempt to download these files with a web browser. Contact details of provider: Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA Phone: 617-552-3670 Fax: +1-617-552-2308 Email: Web page: http://fmwww.bc.edu/EC/ More information through EDIRC