sir_log_transition_density: Markov transition kernel for SIR model
In nianqiaoju/agents: Toolkit for inference in agent-based modelss

computes the log transition density f(x[t+1] | x[t])

1	sir_log_transition_density(xx_diff, alpha_plusone)

`xx_diff`	binary vector, equals x[t+1] - x[t]
`alpha_plueone`	probability of transitioning to the next state from x[t]

nianqiaoju/agents documentation built on Feb. 19, 2021, 12:18 a.m.

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