person("Martin", "Maechler", role = "aut",

Title: A Collection of Functions to Implement a Class for Univariate

Authors@R: c(person("Bill", "Venables", role = c("aut", "cre"),
Author: Bill Venables [aut, cre] (S original),

Description: Provides a 'polynomial' class, functions to create, coerce and test
for class 'polynomial', various functions to manipulate these polynomials,
and functions for calculating the coefficients of some common polynomials.

Title: Calculate Several Polypharmacy Indicators
Description: Analyse prescription drug deliveries to calculate several indicators of polypharmacy corresponding to the various definitions found in the literature.
Fincke, B. G., Snyder, K., Cantillon, C., Gaehde, S., Standring, P., Fiore, L., ... Gagnon, D.R. (2005) <doi:10.1002/pds.966>.
Hovstadius, B., Astrand, B., & Petersson, G. (2010) <doi:10.1002/pds.1921>.
Kennerfalk, A., Ruigómez, A., Wallander, M.-A., Wilhelmsen, L., & Johansson, S. (2002) <doi:10.1345/aph.1A226>.
Veehof, L., Stewart, R., Haaijer-Ruskamp, F., & Jong, B. M. (2000) <doi:10.1093/fampra/17.3.261>.
Imports: data.table, doParallel, foreach, itertools, lubridate,
Packaged: 2021-07-12 03:13:21 UTC; Guillaume Boucher

Title: Genome wide analysis of RNA Polymerase II-based ChIP Seq data.
Author: Martial Sankar, supervised by Marco Mendoza and Hinrich Gronenmeyer
Description: Polyphemus is able to combine signal intensity (count) profiles, with significant peak annotations in order to identify coding regions of interest for the comparative analysis or two or more samples. The algorithm (i) identifies significant coding regions, (ii) performs normalization, (iii) compares several profiles and (iv) provides matrix output suitable for further clustering analysis.
Imports: IRanges, zoo, RUnit, parallel, R.utils, limma

Title: Helper Functions for Orthogonal Polynomials
Authors@R: person("Tristan", "Mahr", email = "tristan.mahr@gmail.com", role = c("aut", "cre"))
Description: Tools for reshaping, plotting, and manipulating matrices of orthogonal polynomials.
Imports: tibble, reshape2, ggplot2, rlang, stats
Suggests: testthat, knitr, rmarkdown, lme4, splines