s.m.mcmc

function that returns a single scalar value proportional to the log
probability density to sample from.

vector specifying for each parameter the lower value the
initial distribution.

lower.inits

vector specifying for each parameter the upper value the
initial distribution.

upper.inits

maximum number of function evaluations

max.iter

n.walkers

further arguments passed to <code>f</code>

Markov Chain Monte Carlo sampler: using the stretch move (implementation of
the Goodman and Ware emcee)

Provides ensemble samplers for
affine-invariant Monte Carlo Markov Chain, which allow a faster
convergence for badly scaled estimation problems. Two samplers are
proposed: the 'differential.evolution' sampler from ter Braak and
Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler
from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.

s.m.mcmc: MCMC Ensemble sampler with the stretch move (emcee)

Description

Usage

Arguments

Value

References