CalcTransitionCounts: Compute a Matrix of Transition Counts from an Observed...
In bvegetabile/ccber: Estimation of Behavioral Entropy Rate
Description
Usage
Arguments
Value
Examples
Description
Compute a Matrix of Transition Counts from an Observed Sequence (First-Order)
Usage
1
CalcTransitionCounts(event_seq, n_states = length(unique(event_seq)))
Arguments
event_seq
Vector of observations.
n_states
Total number of expected unique states.
Value
Matrix
n_{states} \times n_{states}
representing the number of transitions from each state to all other states.
Examples
1
2
3
t_mat <- matrix(c(0.3, 0.7, 0.6, 0.4), 2,2, T)
sim_mc <- SimulateMarkovChain(t_mat, n_sims = 500)
tc <- CalcTransitionCounts(sim_mc)
bvegetabile/ccber documentation built on May 10, 2019, 1:15 p.m.
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Description Usage Arguments Value Examples
Description
Compute a Matrix of Transition Counts from an Observed Sequence (First-Order)
Usage
1 | CalcTransitionCounts(event_seq, n_states = length(unique(event_seq)))
|
Arguments
event_seq |
Vector of observations. |
n_states |
Total number of expected unique states. |
Value
Matrix
n_{states} \times n_{states}
representing the number of transitions from each state to all other states.
Examples
1 2 3 | t_mat <- matrix(c(0.3, 0.7, 0.6, 0.4), 2,2, T)
sim_mc <- SimulateMarkovChain(t_mat, n_sims = 500)
tc <- CalcTransitionCounts(sim_mc)
|
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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