Viterbi.three: A scaled Viterbi algorithm for allocating clones to one of...
In snapCGH: Segmentation, normalisation and processing of aCGH data
Description
Usage
Arguments
Value
Author(s)
Description
A work horse of the fit.model function. It uses a scaled version of the Viterbi algorithm to allocate clones to one of three underlying states as fitted
using a heterogeneous HMM.
Usage
1
Viterbi.three(y, BFGS.output, BFGS.trans)
Arguments
y
the data to be allocated to states
BFGS.output
The output obtained from the find.param.three function
BFGS.trans
A list of the heterogeneous transition matrices
Value
A vector of numbers indicating to which state clones are allocated to.
Author(s)
John Marioni
snapCGH documentation built on Nov. 8, 2020, 5:31 p.m.
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Description Usage Arguments Value Author(s)
Description
A work horse of the fit.model function. It uses a scaled version of the Viterbi algorithm to allocate clones to one of three underlying states as fitted using a heterogeneous HMM.
Usage
1 | Viterbi.three(y, BFGS.output, BFGS.trans)
|
Arguments
y |
the data to be allocated to states |
BFGS.output |
The output obtained from the find.param.three function |
BFGS.trans |
A list of the heterogeneous transition matrices |
Value
A vector of numbers indicating to which state clones are allocated to.
Author(s)
John Marioni
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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