c(person("Jean Pierre", "Decorps", role = c("aut", "cre"),
email = "jp.decorps@epiconcept.fr"),
person("Esther","Kissling", role = "ctb",
email = "e.kissling@epiconcept.fr")
)
Provides set of functions aimed at epidemiologists. They include commands for measures of association and impact for case control studies and cohort studies. They may be particularly useful for outbreak investigations and include univariate and stratified analyses. The functions for cohort studies include the CS(), CSTable() and CSInter() commands. The functions for case control studies include the CC(), CCTable() and CCInter() commands.
Jean Pierre Decorps [aut, cre],
Esther Kissling [ctb]

Provides set of functions aimed at epidemiologists.
They include commands for measures of association and impact for case control studies and cohort studies.
They may be particularly useful for outbreak investigations and include univariate and stratified analyses.
The functions for cohort studies include the CS(), CSTable() and CSInter() commands.
The functions for case control studies include the CC(), CCTable() and CCInter() commands.

c(person("Jean Pierre", "Decorps", role = c("aut", "cre"),
email = "jean.pierre.decorps@gmail.com"))

Conversion Between Epidemiological Weeks and Calendar Dates
Users can easily derive the calendar dates from epidemiological weeks, and vice versa.

Constructing an Epistemic Model for the Games with Two Players
Constructing an epistemic model such that, for every player i and for every choice c(i) which is optimal, there is one type that expresses common belief in rationality.

Aim: Adjust the graphical parameters to create nicer
longitudinal series plots. The default set of graphical parameters is very
general, and can be improved upon when we are interested in plotting data
points observed over time. Functions facilitate plotting those kind of
series, univariate plots, bivariate plots (with vertical axis on both left
and right hand sides), multivariate plots and plots which allow to examine
whether a new observation is 'unusual' via construction and visualization
of prediction intervals around it.