Statistical Methods for the Quantitative Analysis of Song
Spectrograms
R (>= 1.8.0), caroline, network, sna, methods
The melody package is a suite of computer vision tools for
processing vocal spectrograms.  In addition to temporal
partitioning, unit filtering, harmonic splitting, and
background noise removal functionality, the package provides a
collection of methods for assessing the higher order melodic
content of vocalization spectrograms. Both unit level (tone and
interval) as well as inter-unit measures (syllabic variation
and repetition clustering) are also currently available.

Multiple hypothesis testing via empirical likelihood in general
block designs. It provides asymptotic generalized family-wise
error rate control.
person("Eunseop", "Kim", email = "kim.7302@osu.edu", role = c("aut", "cre"))

Empirical likelihood-based multiple testing for the analysis of experimental designs.
Details of the testing procedures are given in Kim et al. (2021) <arxiv:2112.09206>.
c(person(given = "Eunseop",
family = "Kim",
email = "kim.7302@osu.edu",
role = c("aut", "cre")),
person(given = "Steve",
family = "MacEachern",
role = c("aut", "ths")),
person(given = "Mario",
family = "Peruggia",
role = c("aut", "ths")))
Eunseop Kim [aut, cre],
Steve MacEachern [aut, ths],
Mario Peruggia [aut, ths]

Empirical likelihood-based multiple testing for the analysis of experimental designs.
Details of the testing procedures are given in Kim et al. (2021) <arxiv:2112.09206>. Additional functions for regression analysis are included.
c(person(given = "Eunseop",
family = "Kim",
email = "kim.7302@osu.edu",
role = c("aut", "cre")),
person(given = "Steven",
family = "MacEachern",
role = c("aut", "ths")),
person(given = "Mario",
family = "Peruggia",
role = c("aut", "ths")))
Eunseop Kim [aut, cre],
Steven MacEachern [aut, ths],
Mario Peruggia [aut, ths]

Performs multiple empirical likelihood tests for regression analysis.
Much of its functionality and syntax mimics the corresponding base R functions.
The core computational routines are implemented using the 'Eigen' C++ library
and 'RcppEigen' interface, with OpenMP for parallel computation. Additional
functions are available for multiple testing for the analysis of experimental
designs. Details of the testing procedures are given in Kim et al. (2021)
<arxiv:2112.09206>.