Uses a slice sampling-based Markov chain Monte Carlo to conduct Bayesian fitting and inference for generalized additive mixed models. Generalized linear mixed models and generalized additive models are also handled as special cases of generalized additive mixed models. The methodology and software is described in Pham, T.H. and Wand, M.P. (2018). Australian and New Zealand Journal of Statistics, 60, 279-330 <DOI:10.1111/ANZS.12241>.
https://anaconda.org/r_test/r-gammslice/badges/version.svg
https://anaconda.org/r_test/r-gammslice/badges/latest_release_date.svg
https://anaconda.org/r_test/r-gammslice/badges/latest_release_relative_date.svg
https://anaconda.org/r_test/r-gammslice/badges/platforms.svg
https://anaconda.org/r_test/r-gammslice/badges/license.svg
https://anaconda.org/r_test/r-gammslice/badges/downloads.svg