Miscellaneous Functions Used at 'Numeract LLC'
c(
person("Mike", "Badescu", email = "mike.badescu@numeract.com", role = c("aut", "cre")),
person("Ana-Maria", "Niculescu", role = "aut"),
person("Teodor", "Ciuraru", role = "ctb"),
person("Numeract LLC", role = "cph")
)
Contains functions useful for debugging, set operations on vectors,
and 'UTC' date and time functionality. It adds a few vector manipulation
verbs to 'purrr' and 'dplyr' packages. It can also generate an R file to
install and update packages to simplify deployment into production. The
functions were developed at the data science firm 'Numeract LLC' and are
used in several packages and projects.
dplyr, magrittr, purrr, rappdirs, rlang, tibble, stringr
Mike Badescu [aut, cre],
Ana-Maria Niculescu [aut],
Teodor Ciuraru [ctb],
Numeract LLC [cph]

dplyr, magrittr, purrr, rappdirs, rlang, tibble, tidyselect,
stringr

Bayesian Inference on Univariate Normal Mixtures
A program for Bayesian analysis of univariate normal mixtures
with an unknown number of components. This makes use of reversible jump
Markov chain Monte Carlo methods that are capable of jumping between
the parameter sub-spaces corresponding to different numbers of components
in the mixture. A sample from the full joint distribution of all unknown
variables is thereby generated, and this can be used as a basis for a
thorough presentation of many aspects of the posterior distribution.

person("Peter", "Green", , "P.J.Green@bristol.ac.uk", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4367-4756"))
A program for Bayesian analysis of univariate normal mixtures with an unknown number
of components, following the approach of Richardson and Green (1997) <doi:10.1111/1467-9868.00095>.
This makes use of reversible jump Markov chain Monte Carlo methods that are capable of jumping
between the parameter sub-spaces corresponding to different numbers of components in the mixture.
A sample from the full joint distribution of all unknown variables is thereby generated,
and this can be used as a basis for a thorough presentation of many aspects of the posterior
distribution.