EM:
In SaraTouzani/EM: Algorithme EM ("Espérance-Maximisation")
Usage
1
data("EM")
Format
The format is:
Formal class 'Strategy' [package "Rmixmod"] with 11 slots
..@ algo : chr "EM"
..@ nbTry : num 1
..@ initMethod : chr "smallEM"
..@ nbTryInInit : num 10
..@ nbIterationInInit: num 5
..@ nbIterationInAlgo: num 200
..@ epsilonInInit : num 0.001
..@ epsilonInAlgo : num 0.001
..@ seed : num -1
..@ parameter :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots
.. .. ..@ mean : logi[0 , 0 ]
.. .. ..@ variance :List of 1
.. .. .. ..$ : num 0
.. .. ..@ proportions: num(0)
.. .. ..@ nbFreeParam: num(0)
..@ labels : num(0)
Examples
1
2
SaraTouzani/EM documentation built on Dec. 16, 2019, 12:31 a.m.
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Usage
1 | data("EM")
|
Format
The format is: Formal class 'Strategy' [package "Rmixmod"] with 11 slots ..@ algo : chr "EM" ..@ nbTry : num 1 ..@ initMethod : chr "smallEM" ..@ nbTryInInit : num 10 ..@ nbIterationInInit: num 5 ..@ nbIterationInAlgo: num 200 ..@ epsilonInInit : num 0.001 ..@ epsilonInAlgo : num 0.001 ..@ seed : num -1 ..@ parameter :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots .. .. ..@ mean : logi[0 , 0 ] .. .. ..@ variance :List of 1 .. .. .. ..$ : num 0 .. .. ..@ proportions: num(0) .. .. ..@ nbFreeParam: num(0) ..@ labels : num(0)
Examples
1 2 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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