or Gibbs sampling, univariate and multivariate, with optional kernel term and

Author: Alencar Xavier, William Muir, David Habier, Kyle Kocak, Shizhong Xu, Katy Rainey.

or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>),
with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).

Title: Labelling, Tracking, and Collecting Data from Biological Samples
Authors@R: c(person("Yihan", "Wu", role="aut", email = "yihan.wu@queensu.ca"), person("Robert", "Colautti", email = "robert.colautti@queensu.ca", role = c("aut", "cre")))
Description: Tools to generate unique identifiers and printable barcoded labels for sample management.
The creation of unique ID codes and printable PDF files can be initiated by standard commands,
user prompts, or through a GUI addin for R Studio. Both single-level and hierarchical labels can
be created in the command line interactively or non-interactively.
Imports: DT (>= 0.3), ggplot2, grDevices, grid, miniUI (>= 0.1.1),
Packaged: 2018-10-17 15:16:13 UTC; colauttilab

Imports: DT (>= 0.3), grDevices, grid, miniUI (>= 0.1.1), shiny (>=
Packaged: 2018-11-29 21:02:49 UTC; colauttilab

Packaged: 2019-01-10 19:47:07 UTC; colauttilab

Packaged: 2019-04-26 19:30:38 UTC; colauttilab

Title: Label Creation for Tracking and Collecting Data from Biological
Description: Tools to generate unique identifier codes and
printable barcoded labels for the management of biological samples.
The creation of unique ID codes and printable PDF files can be
initiated by standard commands, user prompts, or through a GUI addin
for R Studio. Biologically informative codes can be included for
Imports: DT (>= 0.3), grDevices, grid, miniUI (>= 0.1.1), rstudioapi,
Suggests: covr, knitr, rmarkdown, shinytest, testthat (>= 2.1.0)
Lluís Revilla Sancho [rev] (<https://orcid.org/0000-0001-9747-2570>),

Robert Colautti [aut, cre] (<https://orcid.org/0000-0003-4213-0711>),

Title: Quantifying Habitat-Induced Acoustic Signal Degradation
Description: Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
Imports: pbapply, utils, stats, seewave, tuneR
Suggests: ggplot2, knitr, kableExtra, viridis, png