prob.M.given.Z: prob.M.given.Z
In giantoak/mmppr: Markov Modulated Poisson Process for Unsupervised Event Detection in Time Series of Counts
Description
This function evaluates p(M|Z)
Usage
1
prob.M.given.Z(M, Z, prior)
Arguments
M
Matrix containing the estimated transition probabilities for each iteration
Z
Binary vector indicationg the presence (1) or absence (0) of an event at every time slice
prior
Parameter values of a particular prior distribution
giantoak/mmppr documentation built on May 17, 2019, 4:19 a.m.
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Description
This function evaluates p(M|Z)
Usage
1 | prob.M.given.Z(M, Z, prior)
|
Arguments
M |
Matrix containing the estimated transition probabilities for each iteration |
Z |
Binary vector indicationg the presence (1) or absence (0) of an event at every time slice |
prior |
Parameter values of a particular prior distribution |
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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