emissionParam: Accessor for parameters used to compute emission...
In rscharpf/VanillaICE: A Hidden Markov Model for high throughput genotyping arrays
Description
Usage
Arguments
Value
Examples
Description
Parameters for computing emission probabilities include the
starting values for the Baum Welch update and initial state
probabilities.
Usage
1
2
3
emissionParam(object)
emissionParam(object) <- value
Arguments
object
an object of class EmissionParam
value
an object of class EmissionParam
Value
EmissionParam instance
Examples
1
2
3
4
5
hparam <- HmmParam()
emissionParam(hparam)
ep <- EmissionParam()
cn_means(ep) <- log2(c(.1/2, 1/2, 2/2, 2/2, 3/2, 4/2))
emissionParam(hparam) <- ep
rscharpf/VanillaICE documentation built on May 15, 2019, 5:51 p.m.
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Description Usage Arguments Value Examples
Description
Parameters for computing emission probabilities include the starting values for the Baum Welch update and initial state probabilities.
Usage
1 2 3 | emissionParam(object)
emissionParam(object) <- value
|
Arguments
object |
an object of class |
value |
an object of class |
Value
EmissionParam instance
Examples
1 2 3 4 5 | hparam <- HmmParam()
emissionParam(hparam)
ep <- EmissionParam()
cn_means(ep) <- log2(c(.1/2, 1/2, 2/2, 2/2, 3/2, 4/2))
emissionParam(hparam) <- ep
|
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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