Data sets on various litter types like beach litter, riverain
litter, floating litter, and seafloor litter are rapidly growing. This
package offers a simple user interface to analyse these litter data in
a consistent and reproducible way. It also provides functions to
facilitate several kinds of litter analysis, e.g., trend analysis,
power analysis, and baseline analysis. Under the hood, these functions
are also used by the user interface. See Schulz et al. (2019)
<doi:10.1016/j.envpol.2019.02.030> for details. MS-Windows users are
advised to run 'litteR' in 'RStudio'. See our vignette: Installation manual
for 'RStudio' and 'litteR'.

Fit a Collection of Curves to Single Cohort Decomposition Data
c(person(given = "Will",
family = "Cornwell",
role = c("aut", "cre"),
email = "wcornwell@gmail.com",
comment = c(ORCID = "0000-0003-4080-4073")),
person(given = "James",
family = "Weedon",
role = "aut"),
person(given = "Guofang",
family = "Liu",
role = "ctb"))
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>.
plyr, stats, graphics, grDevices, methods
testthat, knitr, roxygen2, devtools, rmarkdown
Will Cornwell [aut, cre] (<https://orcid.org/0000-0003-4080-4073>),
James Weedon [aut],
Guofang Liu [ctb]

A scripting and command-line front-end
is provided by 'r' (aka 'littler') as a lightweight binary wrapper around
the GNU R language and environment for statistical computing and graphics.
While R can be used in batch mode, the r binary adds full support for
both 'shebang'-style scripting (i.e. using a  hash-mark-exclamation-path
expression as the first line in scripts) as well as command-line use in
standard Unix pipelines. In other words, r provides the R language without
the environment.