prepare_storage: Prepare storage for results
In nickseedorff/pmmhLong: Pseudo-marginal Metroplis Hastings for Efficient Multivariate Longitudinal Poisson Regression

Prepare storage for results

1	prepare_storage(data, ndraws, num_subjects, nsim, burn_in, keep_burn_in)

`data`	list of objects to make relevant storage
`ndraws`	scalar, number of mh iterations
`num_subjects`	scalar, number of subjects
`nsim`	scalar, number of importance samples
`burn_in`	scalar, number of draws to discard
`keep_burn_in`	logical, whether burn_in draws should be kept

list for consumption by pmmh_single_chain

nickseedorff/pmmhLong documentation built on Dec. 31, 2020, 12:05 a.m.

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