Description: Context Free Grammar and Grammatical Evolution for R.

Description: A native R implementation of grammatical evolution (GE). GE facilitates the discovery of programs that can achieve a desired goal. This is done by performing an evolutionary optimisation over a population of R expressions generated via a user-defined context-free grammar (CFG) and cost function.

Description: A native R implementation of grammatical evolution (GE).
GE facilitates the discovery of programs that can achieve a desired goal.
This is done by performing an evolutionary optimisation over a population
of R expressions generated via a user-defined context-free grammar (CFG)

Title: Comprehensive Analysis of Nucleotide Conversion Sequencing Data
person("Florian", "Erhard", email = "Florian.Erhard@uni-wuerzburg.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3574-6983")),
person("Teresa", "Rummel", email = "Teresa.Rummel@uni-wuerzburg.de", role = "ctb"),
person("Lygeri", "Sakellaridi", email = "Lygeri.Sakellaridi@uni-wuerzburg.de", role = "ctb")
Description: Nucleotide conversion sequencing experiments have been
developed to add a temporal dimension to RNA-seq and single-cell RNA-seq. Such
experiments require specialized tools for primary processing such as GRAND-SLAM,
(see 'Jürges et al' <doi:10.1093/bioinformatics/bty256>) and specialized tools for
downstream analyses. 'grandR' provides a comprehensive toolbox for quality control,
kinetic modeling, differential gene expression analysis and visualization of such data.
Author: Florian Erhard [aut, cre] (<https://orcid.org/0000-0002-3574-6983>),
Imports: stats, Matrix, ggplot2, grDevices, patchwork, plyr, parallel,
reshape2, MASS, cowplot, minpack.lm, lfc, methods, utils,
Suggests: knitr, rmarkdown, circlize, Seurat, ComplexHeatmap, ggrepel,
RCurl, DESeq2, clusterProfiler, msigdbr, fgsea, rclipboard,
cubature, lamW, DT, RColorBrewer, eulerr, gsl, htmltools,
labeling, matrixStats, monocle, VGAM, quantreg, rlang,

Title: Inference on Granger-Causality in the Frequency Domain
Author: Matteo Farne' <matteo.farne2@unibo.it>, Angela Montanari <angela.montanari@unibo.it>
Description: Contains five functions performing the calculation of unconditional and conditional Granger-causality spectra, bootstrap inference on both, and inference on the difference between them via the bootstrap approach of Farne' and Montanari, 2018 <arXiv:1803.00374>.