search for: solymos

...pproach 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...

...pproach 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...

Full_Name: Peter Solymos Version: 2.8.1 OS: Windows Submission from: (NULL) (129.128.141.92) The help page of the Box.test function (stats) states that the Ljung-Box test was published in: Ljung, G. M. and Box, G. E. P. (1978), On a measure of lack of fit in time series models. Biometrika 65, 553--564. The page number...

...Viability Analysis (PVA) methodology using data cloning. The data cloning algorithm by Lele et al. (2007, 2010) is employed to compute maximum likelihood estimates of the state-space model parameters and the corresponding standard errors, heavily capitalizing on JAGS, dclone and dcme packages (see Solymos 2010). The main components of the package include estimation of univariate population growth models, model selection and extinction risk estimation: * Model Estimation * - computes maximum likelihood Estimation of the univariate population growth models, both in the presence or absence of observa...

...Viability Analysis (PVA) methodology using data cloning. The data cloning algorithm by Lele et al. (2007, 2010) is employed to compute maximum likelihood estimates of the state-space model parameters and the corresponding standard errors, heavily capitalizing on JAGS, dclone and dcme packages (see Solymos 2010). The main components of the package include estimation of univariate population growth models, model selection and extinction risk estimation: * Model Estimation * - computes maximum likelihood Estimation of the univariate population growth models, both in the presence or absence of observa...

...rchains") stopCluster(cl) m I am grateful for the feedback and support provided by a growing user base. Special thanks to Martyn Plummer for exposing RNG handling in rjags for better integration, and to Khurram Nadeem for catching the most annoying bugs on the test run. Cheers, 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&quo...

...rchains") stopCluster(cl) m I am grateful for the feedback and support provided by a growing user base. Special thanks to Martyn Plummer for exposing RNG handling in rjags for better integration, and to Khurram Nadeem for catching the most annoying bugs on the test run. Cheers, 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&quo...

...script works for data from a single year, but I don't find a way to subset the data by sps AND year and get the function running: f <- function(data) lm(log(w) ~ log(cm+0.5), data = data) v <- lapply(split(data, data$sps), f) and then I can extract the data with this script from Peter Solymos (although I do not get the number of points used in the analysis): myFun <- function(lm) { out <- c(lm$coefficients[1], lm$coefficients[2], length(lm$run1$model$y), summary(lm)$coefficients[2,2], pf(summary(lm)$fstatistic[1], summary(lm)$fstatistic[2], summary(lm)$fstati...

...ttp://www.jstatsoft.org/v29/i08 ). The paper presents worked examples on a variety of ecological analyses. Best wishes, P?ter P?ter S?lymos, PhD Postdoctoral Fellow Department of Mathematical and Statistical Sciences University of Alberta Edmonton, Alberta, T6G 2G1 Canada email <- paste("solymos", "ualberta.ca", sep = "@") _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages

Hello all, I used google and looked at the documentation to find out why the ADONIS function is called adonis (in the vegan package). I am writing a document and would like to include a abbreviation list (similar to "ANOSIM = Analysis of Similarities"). regards, Steve

...ttp://www.jstatsoft.org/v29/i08 ). The paper presents worked examples on a variety of ecological analyses. Best wishes, P?ter P?ter S?lymos, PhD Postdoctoral Fellow Department of Mathematical and Statistical Sciences University of Alberta Edmonton, Alberta, T6G 2G1 Canada email <- paste("solymos", "ualberta.ca", sep = "@") _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages