Title: Estimates of coefficient of overlapping for animal activity
Description: Provides functions to fit kernel density functions to data
on temporal activity patterns of animals; estimate coefficients
of overlapping of densities for two species; and calculate
bootstrap estimates of confidence intervals.

Description: Provides functions to fit kernel density functions to
data on temporal activity patterns of animals; estimate coefficients
of overlapping of densities for two species; and calculate bootstrap

Title: Estimates of Coefficient of Overlapping for Animal Activity

Title: Estimation of Overlapping in Empirical Distributions
Description: Functions for estimating the overlapping area of two or more empirical distributions.

Description: Functions for estimating the overlapping area of two or more empirical distributions (special unofficial edition).

Description: Functions for estimating the overlapping area of two or more kernel density estimations from empirical data.
Depends: R (>= 3.0.0), ggplot2, testthat

Title: Test Overlapping of Polygons Against Random Rotation
Description: Tests the observed overlapping polygon area in a collection of polygons against a null model of random rotation, as explained in De la Cruz et al. (2017) <doi:10.13140/RG.2.2.12825.72801>.
Packaged: 2018-05-30 08:17:40 UTC; marcelino

Packaged: 2019-02-06 08:58:17 UTC; marcelino

Packaged: 2021-03-15 20:07:40 UTC; marcelino

Authors@R: person("Kurtis", "Shuler", role=c("aut", "cre"),
Description: Simplifies MCMC setup by automatically looping through sampling
functions and saving the results.  Reduces the memory footprint of running
MCMC and saves samples to disk as the chain runs.  Allows samples from the
chain to be analyzed while the MCMC is still running.  Provides functions
for commonly performed operations such as calculating Metropolis acceptance
ratios and creating adaptive Metropolis samplers.  References: Roberts and

Title: Easily Extracting Information About Your Data
person("Cosima", "Meyer", , "cosima.meyer@gmail.com", role = c("cre", "aut")),
person("Dennis", "Hammerschmidt", , "dennis_hammerschmidt@yahoo.com", role = "aut")
Description: Makes it easy to display descriptive information on a data
set.  Getting an easy overview of a data set by displaying and
visualizing sample information in different tables (e.g., time and
scope conditions).  The package also provides publishable 'LaTeX' code
ggrepel (>= 0.8.2), ggvenn (>= 0.1.8), rlang, tibble (>=
Suggests: countrycode, covr, devtools, knitr, magrittr, pkgdown,