initial_state: Initial state of Markov jump process
In matrixdist: Statistics for Matrix Distributions
initial_state R Documentation
Initial state of Markov jump process
Description
Given the accumulated values of the initial probabilities alpha and a
uniform value u, it returns the initial state of a Markov jump process.
This corresponds to the states satisfying cum_alpha_(k-1) < u < cum_alpha_(k).
Usage
initial_state(cum_alpha, u)
Arguments
cum_alpha
A cummulated vector of initial probabilities.
u
Random value in (0,1).
Value
Initial state of the Markov jump process.
matrixdist documentation built on Aug. 8, 2023, 5:06 p.m.
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| initial_state | R Documentation |
Initial state of Markov jump process
Description
Given the accumulated values of the initial probabilities alpha and a
uniform value u, it returns the initial state of a Markov jump process.
This corresponds to the states satisfying cum_alpha_(k-1) < u < cum_alpha_(k).
Usage
initial_state(cum_alpha, u)
Arguments
cum_alpha |
A cummulated vector of initial probabilities. |
u |
Random value in (0,1). |
Value
Initial state of the Markov jump process.
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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