dsp 1.7.0

Added a coda::as.mcmc() method for fitted dsp objects, so that the convergence diagnostics and plotting functions in coda can be applied directly. Parameters are flattened to one column per index, named so that individual time points can be addressed, and the result records the sampler’s iteration index, including burn-in and thinning.
Added is.dsp() and documented the dsp class, including the components of a fitted object and their dimensions.
plot() now works without an explicit type, defaulting to "mu". The default was previously unreachable because the method tested whether the argument had been supplied rather than testing its value. Supplying NULL, an unrecognised name, a vector or a non-character value now gives one message naming the quantities the fitted object holds.
Removed RemoteType, RemotePkgRef and RemoteUrl from DESCRIPTION, which were left behind by a local installation.
Removed two unused internal functions, getEffSize() and ergMean().

dsp 1.6.0

Fixed random number generation so that set.seed controls results; btf_nb reset the seed and the state sampler drew from a separate stream.
Added a seed argument to dsp_fit.
Fixed r_user, which did not hold the overdispersion parameter fixed as documented.
Negative binomial models now use the faster Polya-Gamma sampler when the overdispersion is integer valued.
dsp_spec no longer accepts r_init and r_sample directly; both are set through r_user.
Failed Cholesky factorizations are now detected and redrawn with a warning, rather than returning invalid states.
Fixed plot method dropping every changepoint after the first and drawing them D observations early.
Fixed pluralization of “degree” in the print method.
Documented the slice and mh overdispersion samplers as experimental.

dsp_spec now abstracts overdispersion sampling from the user by simplifying to options to default or Poisson approximation.