Depends: R (>= 3.0.2), edgeR, data.table, AnnotationDbi
Imports: rbamtools, R2HTML, GenomicFeatures, biomaRt

Title: Comparison of Algorithms with Iterative Sample Size Estimation
Authors@R: c(person("Felipe", "Campelo", email = "fcampelo@ufmg.br",
person("Fernanda", "Takahashi", email = "fernandact@ufmg.br",
Description: Functions for performing experimental comparisons of algorithms
using adequate sample sizes for power and accuracy.
Suggests: MOEADr, smoof, knitr, rmarkdown, car, dplyr, ggplot2,

Imports: assertthat (>= 0.1), parallel (>= 3.5.0), pbmcapply (>= 1.2.5)

Authors@R: c(person(given = "Felipe", family = "Campelo",
person(given = "Fernanda", family = "Takahashi",
person(given = "Elizabeth", family = "Wanner",
Imports: assertthat (>= 0.2.1), parallel (>= 3.5.1), pbmcapply (>=
Suggests: MOEADr, smoof, knitr, rmarkdown, car, dplyr, pkgdown

using adequate sample sizes for power and accuracy. Implements the
methodology originally presented in Campelo and Takahashi (2019)
for the comparison of two algorithms, and later generalised in
Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.

Suggests: smoof, knitr, rmarkdown, car, dplyr, pkgdown

Title: Comparative Analysis with Annotation-Based Genomic Components
Description: A first-principle, phylogeny-aware comparative genomics tool for
investigating associations between terms used to annotate genomic
components (e.g., Pfam IDs, Gene Ontology terms,) with quantitative
or rank variables such as number of cell types, genome size, or
density of specific genomic elements. See the project website for
more information, documentation and examples.
rmarkdown (>= 2.1.0), nlme (>= 3.1.0), BiocManager (>=
0.13), htmltools (>= 0.5.0), htmlwidgets (>= 1.5.1), pkgdown

Title: Coarse Approximation Linear Function
Author: Stephanie Lane [aut, cre], Clark Jeffries [aut], Diana Perkins [aut]
Description: Contains a greedy algorithm for coarse approximation linear function.

Description: Contains a greedy algorithm for coarse approximation linear

Description: Contains greedy algorithms for coarse approximation linear