Enables quick calibration of radiocarbon dates under various
calibration curves (including user generated ones); age-depth modelling
as per the algorithm of Haslett and Parnell (2008) <DOI:10.1111/j.1467-9876.2008.00623.x>; Relative sea level
rate estimation incorporating time uncertainty in polynomial regression
models (Parnell and Gehrels 2015) <DOI:10.1002/9781118452547.ch32>; non-parametric phase modelling via
Gaussian mixtures as a means to determine the activity of a site
(and as an alternative to the Oxcal function SUM; currently
unpublished), and reverse calibration of dates from calibrated into
un-calibrated years (also unpublished).

utils, MASS, ellipse, coda, mclust, ggplot2, ggridges,
magrittr, purrr, viridis, ggforce, dplyr, scales, stringr

utils, MASS, coda, mclust, ggplot2, ggridges, magrittr, purrr,
ggforce, dplyr, scales, stringr

utils, MASS, coda, mclust, ggplot2, ggridges, magrittr, purrr,
ggforce, dplyr, scales, stringr, checkmate
c(
person("Andrew", "Parnell", email = "Andrew.Parnell@mu.ie", role = c("cre", "aut")),
person("Nathan", "McJames", role = "ctb"),
person("Bruna", "Wundervald", role = "ctb"),
person("Keefe", "Murphy", role = "ctb"),
person("Mateus", "Maia", role = "ctb"),
person("Amin", "Shoari Nejad", role = "ctb"),
person("Yong Chen", "Goh", role = "ctb")
)
knitr, testthat (>= 3.0.0), rmarkdown, covr
Andrew Parnell [cre, aut],
Nathan McJames [ctb],
Bruna Wundervald [ctb],
Keefe Murphy [ctb],
Mateus Maia [ctb],
Amin Shoari Nejad [ctb],
Yong Chen Goh [ctb]

Bayesian Palaeoclimate Reconstruction from Pollen
Andrew Parnell, Thinh Doan and James Sweeney
This package takes pollen/time data from lake cores and
produces a Bayesian posterior distribution of palaeoclimate
from that location after fitting a non-linear non-Gaussian
state-space model.

This package takes pollen/time data from lake cores and
produces a Bayesian posterior distribution of palaeoclimate
from that location after fitting a non-linear non-Gaussian
state-space model. This latest version fixes a bug where
volatilities were estimated incorrectly