Imports: concaveman, ggplot2, igraph, MASS, methods, Morpho, rgl, Rvcg,

Title: Dynamics of Return to Equilibrium During Multiple Inputs
person("Mongin", "Denis", email = "Denis.Mongin@hcuge.ch", role = "aut"),
person("Uribe", "Adriana", email = "adriana.uribe@unige.ch", role = "aut"),
person("Courvoisier", "Delphine", email = "Delphine.Courvoisier@hcuge.ch", role = "aut"),
person("Courvoisier", "Delphine", email = "Delphine.Courvoisier@hcuge.ch", role = "cre"))
Description: Provides models to fit the dynamics of a regulated
system experiencing exogenous inputs. The underlying models use differential
equations and linear mixed-effects regressions to estimate the characteristic
parameters of the equation (the coefficients) and an estimated signal. The
package also provides print, summary, plot and predict functions, specific for
Imports: zoo, data.table, lme4, ggplot2, lmerTest
Suggests: knitr, rmarkdown, devtools, roxygen2

Authors@R: c(person("Mongin", "Denis", email = "Denis.Mongin@unige.ch", role = c("aut","cre"), comment = c(ORCID = "0000-0002-4801-8395")),
person("Courvoisier", "Delphine", email = "Delphine.Courvoisier@hcuge.ch", role = "aut", comment = c(ORCID = "0000-0002-1956-2607")))
Description: Provides models to fit the dynamics of a regulated system experiencing exogenous inputs.
The underlying models use differential equations and linear mixed-effects regressions to estimate the
coefficients of the equation. With them, the functions can provide an estimated signal.
The package provides simulation and analysis functions and also print, summary, plot and predict methods,
adapted to the function outputs, for easy implementation and presentation of results.
Imports: zoo, data.table, lme4, ggplot2, gridExtra, lmerTest, deSolve,
Author: Mongin Denis [aut, cre] (<https://orcid.org/0000-0002-4801-8395>),

Title: Causal Effect Identification from Multiple Incomplete Data
Description: Identification of causal effects from arbitrary observational and experimental probability
distributions via do-calculus and standard probability manipulations using a search-based algorithm.
Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015)
<http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014)
<http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>), missing data (Mohan, K. and Pearl, J. and Tian., J.
(2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these.
Author: Santtu Tikka [aut, cre] (<https://orcid.org/0000-0003-4039-4342>),