MyNixOS website logo
Description

Ensemble Platform for Species Distribution Modeling.

Functions for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization. The package permits to run consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences) dataset and to combine them in ensemble models and ensemble projections. Some bench of other evaluation and visualisation tools are also available within the package.

Cran Version Github Version Last Commit R-CMD-check

------------------------------------------------------------
Species distribution modeling,
calibration and evaluation,
ensemble modeling
------------------------------------------------------------

https://biomodhub.github.io/biomod2/

Installation


  • Stable versionv from cran :
install.packages("biomod2", dependencies = TRUE)

library(devtools)
devtools::install_github("biomodhub/biomod2", dependencies = TRUE)



biomod 4.2-5 - Modeling options & Tuning Update

! biomod2 4.2-5 is now available on CRAN !

/!\ Please feel free to indicate if you notice some strange new behaviors !

What is changed ?

  • modeling options are now automatically retrieved from single models functions, normally allowing the use of all arguments taken into account by these functions
  • tuning has been cleaned up, but keep in mind that it is still a quite long running process
  • in consequence, BIOMOD_ModelingOptions and BIOMOD_Tuning functions become secundary functions (bm_ModelingOptions and bm_Tuning), and modeling options can be directly built through BIOMOD_Modeling function

What is new ?

  • ModelsTable and OptionsBigboss datasets (note that improvement of bigboss modeling options is planned in near future)
  • 3 new vignettes have been created :




biomod 4.2 - Terra Update

What is changed ?

  • biomod2 now relies on the new terra package that aims at replacing rasterand sp.
  • biomod2 is still compatible with old format such as RasterStackand SpatialPointsDataFrame.
  • biomod2 function will sometimes return SpatRaster from package terra that you can always convert into RasterStack using function stack in raster.



biomod 4.1 is now available

/!\ Package fresh start... meaning some changes in function names and parameters. We apologize for the trouble >{o.o}<
Sorry for the inconvenience, and please feel free to indicate if you notice some strange new behaviors !

What is changed ?

  • all code functions have been cleaned, and old / unused functions have been removed
  • function names have been standardized (BIOMOD_ for main functions, bm_ for secundary functions)
  • parameter names have been standardized (same typo, same names for similar parameters across functions)
  • all documentation and examples have been cleaned up

What is new ?

  • plot functions have been re-written with ggplot2
  • biomod2 website has been created, with proper roxygen2 documentation and help vignettes

But... why ?

  • For every minute spent on organizing, an hour is earned.” — Benjamin Franklin
    • better documentation, better formation, better help provided
    • new improvements to come (update of single models, implementation of abundance models, etc)



Metadata

Version

4.2-5-2

License

Unknown

Platforms (77)

    Darwin
    FreeBSD
    Genode
    GHCJS
    Linux
    MMIXware
    NetBSD
    none
    OpenBSD
    Redox
    Solaris
    WASI
    Windows
Show all
  • aarch64-darwin
  • aarch64-freebsd
  • aarch64-genode
  • aarch64-linux
  • aarch64-netbsd
  • aarch64-none
  • aarch64-windows
  • aarch64_be-none
  • arm-none
  • armv5tel-linux
  • armv6l-linux
  • armv6l-netbsd
  • armv6l-none
  • armv7a-darwin
  • armv7a-linux
  • armv7a-netbsd
  • armv7l-linux
  • armv7l-netbsd
  • avr-none
  • i686-cygwin
  • i686-darwin
  • i686-freebsd
  • i686-genode
  • i686-linux
  • i686-netbsd
  • i686-none
  • i686-openbsd
  • i686-windows
  • javascript-ghcjs
  • loongarch64-linux
  • m68k-linux
  • m68k-netbsd
  • m68k-none
  • microblaze-linux
  • microblaze-none
  • microblazeel-linux
  • microblazeel-none
  • mips-linux
  • mips-none
  • mips64-linux
  • mips64-none
  • mips64el-linux
  • mipsel-linux
  • mipsel-netbsd
  • mmix-mmixware
  • msp430-none
  • or1k-none
  • powerpc-netbsd
  • powerpc-none
  • powerpc64-linux
  • powerpc64le-linux
  • powerpcle-none
  • riscv32-linux
  • riscv32-netbsd
  • riscv32-none
  • riscv64-linux
  • riscv64-netbsd
  • riscv64-none
  • rx-none
  • s390-linux
  • s390-none
  • s390x-linux
  • s390x-none
  • vc4-none
  • wasm32-wasi
  • wasm64-wasi
  • x86_64-cygwin
  • x86_64-darwin
  • x86_64-freebsd
  • x86_64-genode
  • x86_64-linux
  • x86_64-netbsd
  • x86_64-none
  • x86_64-openbsd
  • x86_64-redox
  • x86_64-solaris
  • x86_64-windows