[R-pkgs] dclone 1.3-0

From: Peter Solymos <solymos_at_ualberta.ca>
Date: Mon, 03 Jan 2011 10:05:20 -0700


Dear R Community,

I am happy to introduce the latest version 1.3-0 of the 'dclone' R package.

The package provides low level functions for implementing maximum likelihood estimating procedures for complex models using data cloning and Bayesian Markov chain Monte Carlo methods with support for JAGS, WinBUGS and OpenBUGS.

Data cloning is a global optimization approach and a variant of simulated annealing which exploits Bayesian MCMC tools to get maximum likelihood point estimates and corresponding standard errors (see Lele et al. 2007, Ecology Letters, 10:551-563).

The implementation used in the 'dclone' package is described in the recent paper: Solymos, P. 2010. dclone: Data Cloning in R. The R Journal, 2(2):29-37. URL:
http://journal.r-project.org/archive/2010-2/RJournal_2010-2_Solymos.pdf

The current release of 'dclone' supports parallel computations via the 'snow' package.

Have fun,

Peter

Peter Solymos
Alberta Biodiversity Monitoring Institute and Boreal Avian Modelling project
Department of Biological Sciences
CW 405, Biological Sciences Bldg
University of Alberta
Edmonton, Alberta, T6G 2E9, Canada
Phone: 780.492.8534
Fax: 780.492.7635
email <- paste("solymos", "ualberta.ca", sep = "@")

http://www.abmi.ca
http://www.borealbirds.ca
http://sites.google.com/site/psolymos

--

Main functions in the 'dclone' package include:


* dclone, dcdim: cloning R objects in various ways.

* jags.fit, bugs.fit: conveniently fit BUGS models. (jags.parfit fits
chains on parallel workers for JAGS.)
* dc.fit: iterative model fitting by the data cloning algorithm.
(dc.parfit is the parallelized version.)
* dctable, dcdiag: helps evaluating data cloning convergence by
descriptive statistics and diagnostic tools. (These are based on e.g. chisq.diag and lambdamax.diag.)
* coef.mcmc.list, confint.mcmc.list.dc, dcsd.mcmc.list,
quantile.mcmc.list, vcov.mcmc.list.dc, mcmcapply: convenient functions for mcmc.list objects.
* write.jags.model, clean.jags.model, custommodel: convenient
functions for handling BUGS models. _______________________________________________ R-packages mailing list R-packages_at_r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages
Received on Tue 04 Jan 2011 - 07:38:59 EST

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