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placer
View on CRAN: Click
here
Download and install placer package within the R console
Install from CRAN:
install.packages("placer")
Install from Github:
library("remotes")
install_github("cran/placer")
Install by package version:
library("remotes")
install_version("placer", "0.1.3")
Attach the package and use:
library("placer")
Maintained by
Davi Castro-Tavares
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.placer . placer citation info . placer results . placer.pdf . placer . placer_0.1.3.tar.gz . placer_0.1.3.zip . placer_0.1.3.zip . placer_0.1.3.zip . placer_0.1.3.tgz . placer_0.1.3.tgz . placer_0.1.3.tgz . placer_0.1.3.tgz . placer_0.1.3.tgz . placer_0.1.3.tgz . https://CRAN.R-project.org/package=placer .
First Published: 2019-09-16
Latest Update: 2019-09-16
Description:
Assessment of the prevalence of plastic
debris in bird nests based on bootstrap replicates. The package allows for
calculating bootstrapped 95% confidence intervals for the estimated prevalence
of debris. Combined with a Bayesian approach, the resampling simulations can
be also used to define appropriate sample sizes to detect prevalence of plastics.
The method has wide application, and can also be applied to estimate confidence
intervals and define sample sizes for the prevalence of plastics ingested by any
other organisms. The method is described in Tavares et al. (Submitted).
How to cite:
Davi Castro-Tavares (2019). placer: PLastic ACcumulation Estimate using R (PLACER). R package version 0.1.3, https://cran.r-project.org/web/packages/placer. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited placer R package
View placer citation profile
Other R packages that placer depends,
imports, suggests or enhances
Complete documentation for placer
Functions, R codes and Examples using
the placer R package
Some associated functions: ctern . placer . plastic.ci . plastic.prev.prob . prevalence_plot .
Some associated R codes: data.R . placer.R . plastic_estimation.R . plastic_prev_plots.R . Full placer package functions and examples
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