Packaged: Wed Oct 12 10:18:00 2005; susana

Packaged: Thu Oct 13 19:09:48 2005; susana

Packaged: Thu Oct 20 07:59:03 2005; susana

Packaged: Thu Apr 12 22:12:17 2007; root

Packaged: Thu Jul 12 18:18:09 2007; susana

Packaged: Fri Jul 13 10:06:51 2007; susana

Packaged: Thu Nov 22 16:35:37 2007; susana

Packaged: Fri Nov 23 08:52:10 2007; susana

Packaged: Fri Apr  4 08:24:40 2008; susana

Title: Time series autoregressive-based decomposition
Description: Package ArDec implements autoregressive-based decomposition of a time series based on the constructive approach in West (1997). Particular cases include the extraction of trend and seasonal components. Uncertainty on the resulting components can be derived from sampling of the autoregressive model which is written as a linear regression model and handled on a Bayesian framework.
Packaged: Sun Sep 21 15:36:00 2008; susana

Packaged: Fri Dec 12 12:33:12 2008; susana

Packaged: Wed Feb 11 13:52:31 2009; susana

Packaged: Thu Feb 12 15:03:05 2009; susana

Description: Package ArDec implements autoregressive-based
decomposition of a time series based on the constructive
approach in West (1997). Particular cases include the
extraction of trend and seasonal components.

Title: Time Series Autoregressive-Based Decomposition
Description: Autoregressive-based decomposition of a time series based on the approach in West (1997). Particular cases include the extraction of trend and seasonal components.

Title: Bayesian Modeling of Archaeological Chronologies
person("Anne", "Philippe", role = c("aut", "cre"), email = "anne.philippe@univ-nantes.fr"),
person("Marie-Anne", "Vibet", role = c("aut"))
Description: Provides a list of functions for the Bayesian modeling of archaeological chronologies. The Bayesian models are implemented in 'JAGS' ('JAGS' stands for Just Another Gibbs Sampler. It is a program for the analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation. See <http://mcmc-jags.sourceforge.net/> and "JAGS Version 4.3.0 user manual", Martin Plummer (2017) <https://sourceforge.net/projects/mcmc-jags/files/Manuals/>.). The inputs are measurements with their associated standard deviations and the study period. The output is the MCMC sample of the posterior distribution of the event date with or without radiocarbon calibration.
Depends: R (>= 2.10), coda, rjags, ArchaeoPhases
Imports: stats, utils, graphics, grDevices, Bchron