The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
There is a long tradition of studying the flux of carbon from the biosphere to the atmosphere by following a particular cohort of litter (wood, leaves, roots, or other organic material) through time. The resulting data are mass remaining and time. A variety of functional forms may be used to fit the resulting data. Some work better empirically. Some are better connected to a process-based understanding. Some have a small number of free parameters; others have more. This package matches decomposition data to a family of these curves using likelihood–based fitting. This package is based on published research by Cornwell & Weedon (2013) <doi:10.1111/2041-210X.12138>.
Version: | 0.1.3 |
Depends: | R (≥ 3.1.0) |
Imports: | plyr, stats, graphics, grDevices, methods |
Suggests: | testthat, knitr, roxygen2, devtools, rmarkdown |
Published: | 2023-08-29 |
DOI: | 10.32614/CRAN.package.litterfitter |
Author: | Will Cornwell |
Maintainer: | Will Cornwell <wcornwell at gmail.com> |
BugReports: | https://github.com/traitecoevo/litterfitter/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/traitecoevo/litterfitter/issues, http://traitecoevo.github.io/litterfitter/ |
NeedsCompilation: | no |
Citation: | litterfitter citation info |
Materials: | README NEWS |
CRAN checks: | litterfitter results |
Reference manual: | litterfitter.pdf |
Vignettes: |
litterfitter |
Package source: | litterfitter_0.1.3.tar.gz |
Windows binaries: | r-devel: litterfitter_0.1.3.zip, r-release: litterfitter_0.1.3.zip, r-oldrel: litterfitter_0.1.3.zip |
macOS binaries: | r-release (arm64): litterfitter_0.1.3.tgz, r-oldrel (arm64): litterfitter_0.1.3.tgz, r-release (x86_64): litterfitter_0.1.3.tgz, r-oldrel (x86_64): litterfitter_0.1.3.tgz |
Old sources: | litterfitter archive |
Please use the canonical form https://CRAN.R-project.org/package=litterfitter to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.