ricker_sl: Ricker model

In mfasiolo/synlik_release: Synthetic Likelihood methods for intractable likelihoods.

Description

ricker_sl is synlik object containing the stochastic Ricker model, ricker_smcmc is a smcmc object which also contains the results of some MCMC iterations. The model is described rickerSimul and in Wood (2010). The main components of the object are the simulator rickerSimul and the statistics rickerStats, described in the same reference.

Author(s)

Simon Wood and Matteo Fasiolo <[e-mail]>.

References

Simon N Wood. Statistical inference for noisy nonlinear ecological dynamic systems. Nature, 466(7310):1102–1104, 2010.

See Also

rickerSimul

Examples

data(ricker_sl)

plot(ricker_sl)
simulate(ricker_sl, stats = TRUE)

slik(ricker_sl,
     param  =  c( logR = 3.8, logSigma = log(0.3), logPhi = log(10) ),
     nsim    = 1e3)

# Using Nicholson's data
data(ricker_smcmc)

plot(ricker_smcmc)

mfasiolo/synlik_release documentation built on May 22, 2019, 7:55 p.m.