Computation of the p-Value for the Exact Conditional
Cochran-Armitage Trend Test
person("Dominic", "Edelmann", email = "dominic.edelmann@dkfz-heidelberg.de",
role = c("aut", "cre"))
Provides functions for computing the one-sided p-values of the Cochran-Armitage trend test
statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test
is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.

Chronomics Analysis Toolkit (CAT): Analyze Periodicity
Cathy Lee Gierke, Ruth Helget, Germaine Cornelissen-Guillaume
MASS, png, rtf, season, magic, stats, graphics, utils,
grDevices, signal
Performs analysis of sinusoidal rhythms in time series data:  actogram, smoothing, autocorrelation, crosscorrelation, several flavors of cosinor.

Chronomics Analysis Toolkit (CAT): Periodicity Analysis
MASS, png, rtf, season, magic, stats, graphics, utils,
grDevices, signal, assertr
Calculates auto- and cross-correlation functions and plots an actogram and a smoothing function from a time series to identify and visualize periodic components. Tests presence of anticipated rhythm and estimates rhythm parameters; fits model consisting of multiple rhythmic components to data; performs least squares spectral analysis and other cosinor-based analyses, including population-mean cosinor (pmc).

MASS, png, rtf, season, magic, stats, graphics, utils,
grDevices, signal, assertr, CombMSC, Hmisc
Calculates auto- and cross-correlation functions and plots an actogram and a smoothing function from a time series to identify and visualize periodic components. Tests presence of anticipated rhythm and estimates rhythm parameters; fits model consisting of multiple rhythmic components to data; performs least squares spectral analysis and other cosinor-based analyses, including population-mean cosinor (PMC) and population-mean cosinor parameter tests (PMCtest).

Cambial Activity and wood formation data processing,
VIsualisation and Analysis using R
Allows processing, visualisation and analysis of data
coming from cambial activity and wood formation monitoring
studies.