Synthetic Likelihood Methods for Intractable Likelihoods
Simulates from the ricker model
MCMC parameter estimation for objects of class synlik.
synlik-class
Synthetic Likelihood Methods for Intractable Likelihoods
Dummy class
Extracting correlations from a covariance matrix
Dummy class
Internal C and C++ function
Estimate non-linear autoregressive coefficients
Dummy class
Summarize marginal distribution of (differenced) series.
Plotting objects of class smcmc.
Method for plotting an object of class synlik.
Nicholson's 1954 blowfly data
Simulates from the blowfly model
Checking the multivariate normal approximation.
Continuing estimation.
Robust covariance matrix estimation
Simulate data or statistics from an object of class synlik.
Estimate auto-covariances for multiple datasets.
Plot slices of the synthetic log-likelihood.
Evaluates the synthetic log-likelihood.
smcmc-class
Framework to perform synthetic likelihood inference for models where the likelihood function is unavailable or intractable.