similar to: adehabitat version 1.4

Dear all, I have just uploaded to CRAN the version 1.3 of the package 'adehabitat'. Significant changes are listed below: - Several functions allowing the conversion from and to classes of the package sp have been added. Maps of class "asc", "kasc", "area", as well as radio-monitoring of class "traj" can now be converted to the spatial

Dear all, I have just uploaded to CRAN the version 1.3 of the package 'adehabitat'. Significant changes are listed below: - Several functions allowing the conversion from and to classes of the package sp have been added. Maps of class "asc", "kasc", "area", as well as radio-monitoring of class "traj" can now be converted to the spatial

Dear all, I have just uploaded a package to CRAN a new package called 'adehabitat'. This package is intended for ecologists who want to analyse the use of space by animals. Many functions currently used in this field are available to highlight habitat selection by animals (selection ratios, ENFA, habitat suitability maps with the algorithm DOMAIN or Resource Selection Functions) or to

Dear all, I have just uploaded a package to CRAN a new package called 'adehabitat'. This package is intended for ecologists who want to analyse the use of space by animals. Many functions currently used in this field are available to highlight habitat selection by animals (selection ratios, ENFA, habitat suitability maps with the algorithm DOMAIN or Resource Selection Functions) or to

Dear all, I have just uploaded to CRAN the version 1.2 of the package 'adehabitat'. This package now contains new functions for the estimation of home ranges (Nearest neighbour convex hull, brownian bridge approach for kernel estimation), estimation of schoener's ratio. This package now allows a better management of objects of class "area" (see plot.area, perarea, ararea).

Dear all, I have just uploaded to CRAN the version 1.5 of the package 'adehabitat'. Significant changes are listed below: * the package now contains a new function allowing a factorial decomposition of the Mahalanobis distances in habitat selection studies, named madifa(). * The ENFA can now be performed using all kinds of variables (numeric, factors, fuzzy, mixing of several types,

Dear all, I have just uploaded to CRAN the version 1.5 of the package 'adehabitat'. Significant changes are listed below: * the package now contains a new function allowing a factorial decomposition of the Mahalanobis distances in habitat selection studies, named madifa(). * The ENFA can now be performed using all kinds of variables (numeric, factors, fuzzy, mixing of several types,

Dear all, I have just uploaded to CRAN the version 1.2 of the package 'adehabitat'. This package now contains new functions for the estimation of home ranges (Nearest neighbour convex hull, brownian bridge approach for kernel estimation), estimation of schoener's ratio. This package now allows a better management of objects of class "area" (see plot.area, perarea, ararea).

Dear all, I have just uploaded to CRAN the version 1.6 of the package 'adehabitat'. Significant changes are listed below: * The package has been reorganized into four parts (see ?adehabitat-package for a description): (i) management of raster maps, (ii) habitat selection / ecological niche analysis, (iii) home range analysis, and (iv) analysis of animals trajects. The package contains

Dear all, I have just uploaded to CRAN the version 1.6 of the package 'adehabitat'. Significant changes are listed below: * The package has been reorganized into four parts (see ?adehabitat-package for a description): (i) management of raster maps, (ii) habitat selection / ecological niche analysis, (iii) home range analysis, and (iv) analysis of animals trajects. The package contains

Dear all, I have uploaded to CRAN the version 1.8 of the package 'adehabitat'. Significant changes are listed below: * getverticeshr now relies on the function contourLines(), and returns smoother estimates of the kernel home range (see the help page). * the new function kernelkc (and related functions) now allows the estimation of the utilization distribution in space and time of

Dear all, I have uploaded to CRAN the version 1.7 of the package 'adehabitat'. Significant changes are listed below: * The Brownian bridge kernel estimation algorithm has been greatly improved. It now takes more than 80% less time than the previous version. A new function "liker" has also been added, which estimates the one of the two smoothing parameters of the bridge

Dear all, I have uploaded to CRAN the version 1.7 of the package 'adehabitat'. Significant changes are listed below: * The Brownian bridge kernel estimation algorithm has been greatly improved. It now takes more than 80% less time than the previous version. A new function "liker" has also been added, which estimates the one of the two smoothing parameters of the bridge

Hello, I'm using R code that includes a residual permutation that was written as a supplement to the paper: Turner et al. 2010. A general hypothesis-testing framework for stable isotopes ratios in ecological studies. Ecology 91:2227-2233. The supplemental code is available at: http://www.esapubs.org/archive/ecol/E091/157/suppl-1.htm When I execute the function, no warnings are given

Hi all, There is a compatibility issue between the package 'lme4' and my package 'kml'. I define the "[" operator. It works just fine in my package (1). If I try to use the lme4 package, then it does no longer work (2). Moreover, it has some kind of strange behavior (3). Do you know what is wrong? Any idea of how I can correct that? Thanks for your help Christophe ---

Hi the list, I am writing a package in S4 and I do not manage to understand a bug. The "R CMD check" and the "R CMD build" both work. Here is links to the package (not on CRAN yet for the raison that I explain bellow): http://christophe.genolini.free.fr/aTelecharger/kml_0.5.zip http://christophe.genolini.free.fr/aTelecharger/kml_0.5.tar.gz Then I install the package and I

Dear all, I am currently running an ENFA in R using Adehabitat pkg to assess species distribution and I am really stuck and need some help to finalize my project. I run the ENFA in both original location data and pseudo-absence points (the latter randomly generated using dismo pkg), and now I would like to assess the performance of the ENFA, however, I am not sure about how to tackle this. I

Hi the list, One of my package has a memory issue that I do not manage to understand. The Memtest notes is here: <http://www.stats.ox.ac.uk/pub/bdr/memtests/valgrind/kml-Ex.Rout> Here is the message that I get from Memtest --- 8< ---------------- ~ Fast KmL ~ ==27283== Invalid read of size 4 ==27283== at 0x10C5DF28: kml1 (kml.c:183) ... ==27283== by 0x10C5DE4F: kml1 (kml.c:151)

Dear all, I'm trying to use the Pspline add-on package to fit a quintic spline (norder =3), but I keep running into a Singularity error. > traj.spl <- smooth.Pspline(time, x, norder=3 ) Error in smooth.Pspline(time, x, norder = 3) : Singularity error in solving equations > Playing around with the other parameters produces an "unused arguments" error: > traj.spl

Dear all, I am running an Ecological Niche Factor Analysis in R but I am stuck with a problem. As soon as I ask the software to compute the ENFA, I get the following error message: Error in eigen(Se) : infinite or missing values in 'x' Does anyone know what could be wrong. I do not have missing values in my dataset. Please follow the codes I used for my analysis so far: library