find.param.five: Yields the output in a model with five underlying states
In snapCGH: Segmentation, normalisation and processing of aCGH data
Description
Usage
Arguments
Value
Author(s)
Description
This function is a workhorse of the process.data function. It outputs state means/variances and transitions matrices in the model with five states.
Usage
1
find.param.five(output.optim,var.fixed)
Arguments
output.optim
output of the optimisation with 5 underlying states
var.fixed
Logical variable - TRUE if you want to fix the variance to be the same across states
Value
Outputs the mean/variance, transition matrix, maximised likelihood and convergence information
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
This function is a workhorse of the process.data function. It outputs state means/variances and transitions matrices in the model with five states.
Usage
1 | find.param.five(output.optim,var.fixed)
|
Arguments
output.optim |
output of the optimisation with 5 underlying states |
var.fixed |
Logical variable - TRUE if you want to fix the variance to be the same across states |
Value
Outputs the mean/variance, transition matrix, maximised likelihood and convergence information
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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