search for: dclone

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...

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...

Dear R Community, I am happy to introduce the next release of the *dclone* package (see R Journal, 2(2): 29-37, 2010) which now includes a suite of functions for parallel computations: - see functions parJagsModel, parUpdate, parCodaSamples using 'snow' type clusters; and the - jags.parfit function that can be used with 'snow' type clusters or multiple c...

Dear R Community, I am happy to introduce the next release of the *dclone* package (see R Journal, 2(2): 29-37, 2010) which now includes a suite of functions for parallel computations: - see functions parJagsModel, parUpdate, parCodaSamples using 'snow' type clusters; and the - jags.parfit function that can be used with 'snow' type clusters or multiple c...

...package implements Population 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...

...package implements Population 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...

Hi, I want to update an existing row in table "items" where items.id == 10 I tried this: item = Item.new item.f1 = ... item.f2 = ... ... item.id = 10 item.save I got an error Duplicate entry ... for key 10 : INSERT INTO items ... How do I make item.save to use UPDATE instead of INSERT? -- Posted via http://www.ruby-forum.com/.

...lss" "bbmle" "binom" "brglm2" [5] "broom" "caper" "car" "CDM" [9] "CLME" "coin" "crosstable" "dclone" [13] "doBy" "drc" "Ecfun" "emmeans" [17] "epigrowthfit" "evd" "Exact" "fitode" [21] "fixest" "ggfortify" "ggplot2...

? Tue, 21 May 2024 08:00:11 +0000 Dario Strbenac via R-devel <r-devel at r-project.org> ?????: > Would a less resource-intensive value, such as 1, be a safer default > CPU value for confint? Which confint() method do you have in mind? There is at least four of them by default in R, and many additional classes could make use of stats:::confint.default by implementing vcov(). >

Hi I am trying to use the RSS classes from "rss/2.0" and everything works but I want to know what attributes and properties I can get at from each of the classes I am getting back. For example, the class has a "channel" which I can tell has a "title" attribute (because it works when I query it :) but I would really like a list of every attribute that is

Dear R Community, I?m relatively new in the field of R and I hope someone of you can help me to solve my nerv-racking problem. For my Master thesis I collected some behavioral data of fish using acoustic telemetry. The aim of the study is to compare two different groups of fish (coded as 0 and 1 which should be the dependent variable) based on their swimming activity, habitat choice, etc.

I''m studying the Agile Development with Rails book. In the chapter that first sets up the depot application (page 68), there is this bit of code from a view: <% for product in @products %> <tr> <% for column in Product.content_columns %> <td><%=h product.send(column.name) %></td> <% end %> etc... I am trying to absorb both Ruby and

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):

...6), brglm (0.5-5), cairoDevice (2.13), caret (4.43), catspec (0.95), cgh (1.0-7.1), cluster (1.13.1), clusterSim (0.38-1), cmprskContin (1.6), coarseDataTools (0.2), coin (1.0-12), copula (0.9-7), corrplot (0.30), cshapes (0.2-4), ctv (0.6-0), cudaBayesreg (0.3-6), dagR (1.1.1), data.table (1.4.1), dclone (1.1-0), ddesolve (1.04), denstrip (1.5), depmixS4 (0.9-0), DiceKriging (1.1), difR (3.1), distr (2.2.3), diveMove (1.0), dlnm (1.2.4), doBy (4.0.6), doMC (1.2.1), dplR (1.3.5), drc (1.9-3), dti (0.9-2), eba (1.5-7), elrm (1.2.1), emplik2 (1.10), ensembleBMA (4.5), epicalc (2.11.1.0), epitools (0.5...