Imports: utils, MASS, ellipse, coda, mclust, ggplot2, ggridges,
magrittr, purrr, viridis, ggforce, dplyr, scales, stringr
Packaged: 2020-01-15 10:36:18 UTC; andrewparnell

Imports: utils, MASS, coda, mclust, ggplot2, ggridges, magrittr, purrr,
Packaged: 2020-03-06 21:30:58 UTC; andrewparnell

Packaged: 2020-03-12 20:20:49 UTC; andrewparnell

Packaged: 2020-04-13 12:02:22 UTC; andrewparnell

Suggests: knitr, testthat, rmarkdown, covr
Packaged: 2020-08-31 14:20:21 UTC; andrewparnell

Packaged: 2020-11-21 16:02:34 UTC; andrewparnell

Packaged: 2021-01-28 19:22:25 UTC; andrewparnell

ggforce, dplyr, scales, stringr, checkmate
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("Amin", "Shoari Nejad", role = "ctb"),
person("Yong Chen", "Goh", role = "ctb")
Suggests: knitr, testthat (>= 3.0.0), rmarkdown, covr
Packaged: 2021-05-12 15:32:22 UTC; andrewparnell

Packaged: 2021-06-09 16:04:16 UTC; andrewparnell

Title: Bayesian Palaeoclimate Reconstruction from Pollen
Author: Andrew Parnell, Thinh Doan and James Sweeney
Description: 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
Packaged: 2012-06-21 11:28:30 UTC; andrewparnell

state-space model. This latest version fixes a bug where

Description: 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.

Title: Bayesian Palaeoclimate Reconstruction from Pollen Data
Description: Takes pollen and chronology 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. For more details see the paper Parnell, A. C., et al. (2015), Bayesian inference for palaeoclimate with time uncertainty and stochastic volatility. Journal of the Royal Statistical Society: Series C (Applied Statistics), 64: 115–138.
Imports: MASS, mclust, graphics, statmod, ggplot2
Packaged: 2016-06-11 20:26:49 UTC; andrewparnell