Jasmin Straube [aut, cre], Kim-Anh Le Cao [aut], Emma Huang [aut], Anne Bernard [ctb]
Implements a method based on the fast Fourier transform to estimate delays of expression initiation between trajectories to integrate and
analyse time course omics data.

Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at> and Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>
Improves the concept of multivariate range boxes, which is highly susceptible for outliers and does not consider the distribution of the data. The package uses dynamic range boxes to overcome these problems.

Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>,
Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>,
Robert R. Junker <Robert.Junker@sbg.ac.at>,
Jonas Kuppler <Jonas.Kuppler@uni-duesseldorf.de>,
Arne Bathke <Arne.Bathke@sbg.ac.at>

caTools, corrplot, RColorBrewer, ggplot2, reshape2, vegan

corrplot, RColorBrewer, ggplot2, reshape2, vegan

Manuela Schreyer <manuelalarissa.schreyer@sbg.ac.at>,
Wolfgang Trutschnig <Wolfgang.Trutschnig@sbg.ac.at>,
Robert R. Junker <Robert.Junker@sbg.ac.at>,
Jonas Kuppler <Jonas.Kuppler@uni-duesseldorf.de>,
Arne Bathke <Arne.Bathke@sbg.ac.at>,
Judith H. Parkinson <judith.parkinson@sbg.ac.at>,
Raoul Kutil <Raoul_Hugo.Kutil@stud.sbg.ac.at>
corrplot, RColorBrewer, ggplot2, reshape2, vegan, foreign,
dplyr

A set of tools to generate dynamic spectrogram visualizations in video format.
pbapply, utils, grDevices, stats, seewave, tuneR, grid, png,
NatureSounds, ggplot2
c(person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marcelo.araya@ucr.ac.cr", comment = c(ORCID = "0000-0003-3594-619X")))

pbapply, utils, grDevices, graphics, stats, seewave, tuneR,
grid, png, NatureSounds, ggplot2, viridis, scales, av, ari,
gganimate, magrittr

Robert B. Gramacy <bobby@statslab.cam.ac.uk> and Matt A. Taddy
<taddy@chicagobooth.edu>
Inference by sequential Monte Carlo for dynamic tree
regression and classification models by particle learning (PL),
with hooks provided for sequential design and optimization.
Illustrative examples from the original dynamic trees paper are
facilitated by demos in the package; see
demo(package="dynaTree")