getMcmc: Collect the MCMC options

Description Usage Arguments Author(s)

Description

Collect the MCMC options

Usage

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  getMcmc(samples = 10000L, burnin = 10000L, step = 2L,
    nIwlsIterations = 1L)

Arguments

samples

number of resulting samples (default: 10,000)

burnin

number of burn-in iterations which are not saved (default: 10,000)

step

only every step-th iteration is saved after the burn-in (default: 2)

nIwlsIterations

maximum number of IWLS iterations in the proposal step (default: 1). Set that to a higher value to achieve higher acceptance rates.

Author(s)

Daniel Sabanes Bove daniel.sabanesbove@ifspm.uzh.ch


hypergsplines documentation built on May 2, 2019, 6:14 p.m.