<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

Suggests: knitr, kableExtra, testthat (>= 2.3.2)

Title: Fit a Collection of Curves to Single Cohort Decomposition Data
Description: 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>.
Imports: plyr, stats, graphics, grDevices, methods
Suggests: testthat, knitr, roxygen2, devtools, rmarkdown
Author: Will Cornwell [aut, cre] (<https://orcid.org/0000-0003-4080-4073>),

Description: 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

Author: Dirk Eddelbuettel and Jeff Horner

Suggests: knitr, rmarkdown, docopt, rcmdcheck

Suggests: knitr, rmarkdown, minidown, docopt, rcmdcheck, foghorn

Suggests: simplermarkdown, docopt, rcmdcheck, foghorn

Title: Liu Regression with Liu Biasing Parameters and Statistics
Author: Muhammad Imdadullah, Dr. Muhammad Aslam
Description: Linear Liu regression coefficient's estimation and testing with
different Liu related measures such as MSE, R-squared etc.
Note: Department of Statistics, Bahauddin Zakariya University, Multan,