sampleK {EDISON} | R Documentation |
Sample initial number of changepoints.
Description
This function samples the initial number of changepoints from a sparse Poisson prior.
Usage
sampleK(mini, maxi, lambda, nb)
Arguments
mini |
Minimum value. |
maxi |
Maximum value. |
lambda |
Parameter of the Poisson distribution. |
nb |
Number of values to sample. |
Value
The sampled number of changepoints.
Author(s)
Sophie Lebre
References
For more information on the prior choice and sampling, see:
Dondelinger et al. (2012), "Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure", Machine Learning.
[Package EDISON version 1.1.1 Index]