mcmcensemble 2.2

Major changes

• it is now possible to use a named vector as first argument of the function passed in f. This is useful if you do something like:

p.log.named <- function(x) {
  B <- 0.03
  return(-x["a"]^2/200 - 1/2*(x["b"]+B*x["a"]^2-100*B)^2)
}

• mcmcensemble now explicitly depends on R >= 3.5.0. This was already implicitly the case since 2.1 because of the dependency on the progressr package.
• the ensemble sampling algorithm used by MCMCEnsemble() is now recorded in an additional attribute (accessible via attr(res, "ensemble.sampler")).

Other user-facing changes

• there is now an additional argument check ensuring that lower.inits and upper.inits have the same names

mcmcensemble 2.1

Major changes

• the ensemble sampling can now be parallelised with the future framework. Check the README for more information

Other user-facing changes

• very large log.p differences between chains do not cause them to be stuck any more
• addition of a new vignette listing frequently asked questions (with their answer)

Dev changes

• new test to make sure the chains converge as expected
• performance improvements

mcmcensemble 2.0

Breaking changes

• The argument names and order in d.e.mcmc() and s.m.mcmc() now match those of MCMCEnsemble()

Other user-facing changes

• coda package is now only in Suggests, instead of being a hard dependency

Dev changes

• this package is now named mcmcensemble
• roxygen2 documentation now uses markdown syntax
• this package now has unit and regression tests
• various parts of the code have been optimized for speed