season-package: Tools for uncovering and estimating seasonal patterns.
Description
The package contains graphical methods for displaying seasonal data
and regression models for detecting and estimating seasonal patterns.
The regression models can be applied to normal, Poisson or binomial
dependent data distributions. Tools are available for both time series
data (equally spaced in time) and survey data (unequally spaced in
time).
Sinusoidal (parametric) seasonal patterns are available
(cosinor, nscosinor), as well as models
for monthly data (monthglm), and the case-crossover
method to control for seasonality (casecross).
Arguments
Details
season aims to fill an important gap in the Rsoftware by
providing a range of tools for analysing seasonal data. The examples
are based on health data, but the functions are equally applicable to
any data with a seasonal pattern.
In the next version we hope to make the nscosinor function faster and
improve the plots.
ll{
Package: season
Type: Package
Version: 0.2-6
Date: 2011-10-23
License: GPL (>= 3)
}
References
Barnett, A.G., Dobson, A.J. (2010) Analysing Seasonal Health Data. Springer.