Title: Tools for Estimating and Predicting the Cosinor Model
Description: A set of simple functions that transforms longitudinal

Title: Extended Tools for Cosinor Analysis of Rhythms
Description: Statistical procedures for calculating population–mean cosinor, non–stationary cosinor, estimation of best–fitting period, tests of population rhythm differences and more. See Cornélissen, G. (2014). <doi:10.1186/1742-4682-11-16>.
Depends: R (>= 2.10), cosinor (>= 1.1), ggplot2 (>= 2.2.1), matrixStats

Title: Mutational Signatures from COSMIC (Catalogue of Somatic
Description: A data package with 2 main package variables: 'signature' and 'etiology'.
The 'signature' variable contains the latest mutational signature profiles
released on COSMIC <https://cancer.sanger.ac.uk/signatures/> for 4 mutation
* single base substitutions in the context of preceding and following bases,
* Strand bias single base substitutions: single base substitutions
from transcribed regions, that take into consideration the
the transcribed versus non-transcribed strand,
The 'etiology' variable provides the known or hypothesized causes of signatures.
'cosmicsig' stands for COSMIC signatures. Please run ?'cosmicsig' for more
Suggests: testthat (>= 3.0.0), ICAMS, usethis
Author: Steven Rozen [aut, cre] (<https://orcid.org/0000-0002-4288-0056>),

Title: Functions for cosmological distances, times, luminosities, etc.
Description: Package encapsulates standard expressions for distances,
times, luminosities, and other quantities useful in
observational cosmology, including molecular line observations.
Currently coded for a flat universe only.

Packaged: 2012-12-15 13:11:54 UTC; Andrew Harris

Title: Functions for Cosmological Distances, Times, Luminosities, Etc
Description: Package encapsulates standard expressions for distances, times, luminosities, and other quantities useful in observational cosmology, including molecular line observations.  Currently coded for a flat universe only.

Description: This package aims at the easy production of descriptive and
bivariate statistics tables in HTML. It can load files in csv, xls/xlsx
formats, and read labels and formats from SAS or plain text files. It is
intended to be usable by absolute R beginners. Ce paquet permet la
production facile de tableaux HTML descriptifs et comparatifs, meme pour