litterfitter
Package for fitting and testing alternative models for single cohort litter decomposition data
Science Score: 23.0%
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Keywords
Repository
Package for fitting and testing alternative models for single cohort litter decomposition data
Basic Info
- Host: GitHub
- Owner: traitecoevo
- License: other
- Language: R
- Default Branch: master
- Homepage: http://traitecoevo.github.io/litterfitter/
- Size: 15.4 MB
Statistics
- Stars: 5
- Watchers: 9
- Forks: 2
- Open Issues: 5
- Releases: 2
Topics
Metadata Files
README.md
litterfitter 
R package for fitting and testing alternative models for single cohort litter decomposition data
Installation
``` r #install.packages("remotes") remotes::install_github("cornwell-lab-unsw/litterfitter")
library(litterfitter) ```
Getting started
At the moment there is one key function which is fit_litter which can
fit 6 different types of decomposition trajectories. Note that the
fitted object is a litfit object
``` r fit <- fit_litter(time=c(0,1,2,3,4,5,6), mass.remaining =c(1,0.9,1.01,0.4,0.6,0.2,0.01), model="weibull", iters=500)
class(fit) ```
You can visually compare the fits of different non-linear equations with
the plot_multiple_fits function:
r
plot_multiple_fits(time=c(0,1,2,3,4,5,6),
mass.remaining=c(1,0.9,1.01,0.4,0.6,0.2,0.01),
model=c("neg.exp","weibull"),
iters=500)

Calling plot on a litfit object will show you the data, the curve
fit, and even the equation, with the estimated coefficients:
r
plot(fit)

The summary of a litfit object will show you some of the summary
statistics for the fit.
#> Summary of litFit object
#> Model type: weibull
#> Number of observations: 7
#> Parameter fits: 4.19
#> Parameter fits: 2.47
#> Time to 50% mass loss: 3.61
#> Implied steady state litter mass: 3.71 in units of yearly input
#> AIC: -3.8883
#> AICc: -0.8883
#> BIC: -3.9965
From the litfit object you can then see the uncertainty in the
parameter estimate by bootstrapping

Owner
- Name: Trait Ecology and Evolution
- Login: traitecoevo
- Kind: organization
- Location: Australia
- Repositories: 64
- Profile: https://github.com/traitecoevo
GitHub Events
Total
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- Push event: 6
- Fork event: 1
Last Year
- Release event: 1
- Push event: 6
- Fork event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| wcornwell | w****l@g****m | 62 |
| James Weedon | j****n@g****m | 42 |
| Will Cornwell | w****l@u****u | 31 |
| Will Cornwell | w****l@v****l | 18 |
| Fonti Kar | f****r@u****u | 14 |
| liuguofang | l****4@1****m | 2 |
Committer Domains (Top 20 + Academic)
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Last synced: 6 months ago
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- Total pull requests: 0
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Packages
- Total packages: 1
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Total downloads:
- cran 202 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
cran.r-project.org: litterfitter
Fits a Collection of Curves to Single-Cohort Decomposition Data
- Homepage: http://traitecoevo.github.io/litterfitter/
- Documentation: http://cran.r-project.org/web/packages/litterfitter/litterfitter.pdf
- License: MIT + file LICENSE
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Latest release: 0.1.4
published 6 months ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.1.0 depends
- grDevices * imports
- graphics * imports
- methods * imports
- plyr * imports
- stats * imports
- devtools * suggests
- knitr * suggests
- roxygen2 * suggests
- testthat * suggests
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