Depends: R (>= 2.10), amap, e1071, ggplot2, cluster, rgl

Title: Distributional Data Analysis Techniques for Biosensor Data
person(given ="Juan C.", family ="Vidal", email = "juan.vidal@usc.es", role = c("aut", "cre"),
person(given = "Marcos", family = "Matabuena", role = c("aut"),
person(given = "Marta", family = "Karas", role = c("ctb"),
Description: Unified and user-friendly framework for using new
distributional representations of biosensors data in different statistical modeling
tasks: regression models, hypothesis testing, cluster analysis, visualization, and
descriptive analysis. Distributional representations are a functional extension of
compositional time-range metrics and we have used them successfully so far in modeling
glucose profiles and accelerometer data. However, these functional representations can
be used to represent any biosensor data such as ECG or medical imaging such as fMRI.
Matabuena M, Petersen A, Vidal JC, Gude F. "Glucodensities: A new representation of
glucose profiles using distributional data analysis" (2021)
Imports: Rcpp, graphics, stats, methods, utils, energy, fda.usc,
Packaged: 2022-05-03 19:11:30 UTC; martakaras
Author: Juan C. Vidal [aut, cre] (<https://orcid.org/0000-0002-8682-6772>),
Maintainer: Juan C. Vidal <juan.vidal@usc.es>

Title: A Toolbox for Manipulating Biological Sequences
Description: Classes and functions to work with biological sequences (DNA, RNA and amino acid sequences).
Implements S3 infrastructure to work with biological sequences.
Provides a collection of functions to perform biological conversion among classes
(transcription, translation) and basic operations on sequences
(detection, selection and replacement based on positions or patterns).
The package also provides functions to import and export sequences from and to other package formats.
Imports: methods, vctrs, tibble, ape, crayon, dplyr, pillar, stringr,
Author: Francois Keck [aut, cre, cph] (<https://orcid.org/0000-0002-3323-4167>)

Implements S3 infrastructure to work with biological sequences as described in Keck (2020) <doi:10.1111/2041-210X.13490>.