Description Usage Arguments Value
SMC' sampler–inference from local genealogies
1 2 3 | smcp_sampling(data, nsamp, nburnin, grid, alpha = 0.001, beta = 0.001,
stepsz = 0.1, Nleap = 15, rand_leap = TRUE, scaling = 10,
tol = 1e-05)
|
data |
a list containing sufficient statistics |
nsamp |
integer specifying number of MCMC samples |
nburnin |
integer specifying the number of burnin samples |
grid |
a vector with the grid points |
alpha |
hyperparameter of precision of BM prior |
beta |
hyperparameter of precision of BM prior |
stepsz |
numeric tuning parameter for Split Hamiltonian Monte Carlo |
Nleap |
integer tuning parameter for Split Hamiltonian Monte Carlo |
rand_leap |
tuning parameter for Split Hamiltonian Monte Carlo |
scaling |
numeric re-scaling parameter |
tol |
tolerance to detect difference |
A matrix of sim rows. Entry x_i,j has the n-j+1-th coalescent time of the i-th tree
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