MitISEM: Mixture of Student t Distributions using Importance Sampling and Expectation Maximization

Flexible multivariate function approximation using adapted Mixture of Student t Distributions. Mixture of t distribution is obtained using Importance Sampling weighted Expectation Maximization algorithm.

Version: 1.2
Imports: mvtnorm
Suggests: AdMit
Published: 2017-07-10
Author: N. Basturk, L.F. Hoogerheide, A. Opschoor, H.K. van Dijk
Maintainer: N. Basturk <n.basturk at maastrichtuniversity.nl>
License: GPL (≥ 3)
URL: https://www.maastrichtuniversity.nl/n.basturk
NeedsCompilation: no
Citation: MitISEM citation info
Materials: NEWS
In views: Distributions
CRAN checks: MitISEM results

Downloads:

Reference manual: MitISEM.pdf
Package source: MitISEM_1.2.tar.gz
Windows binaries: r-devel: MitISEM_1.2.zip, r-devel-gcc8: MitISEM_1.2.zip, r-release: MitISEM_1.2.zip, r-oldrel: MitISEM_1.2.zip
OS X binaries: r-release: MitISEM_1.2.tgz, r-oldrel: MitISEM_1.2.tgz
Old sources: MitISEM archive

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