Nothing
# Creates an object of class \code{Simulation}
#
# It is used to generate plots by using method \code{plot} on an object of that class.
#
# Theta a matrix with four dimensions where the first dimension is the number of parameters,
# the second the number of k used in the simulation, the third the number of estimators and the
# fourth the number of repetitions in the simulation.
# k a vector of k values used in the simulation
# estimator_names a vector of strings indicating the names of the estimators used in
# the simulation
# params a vector of numeric values of the true parameters
# ends_to_params a matrix of dimensions #parameters*2 containing the incident vertices to
# the edges.
# it is assumed that the order of the parameters in T, trueParameters and endsToParameters
# is the same.
Simulation<- function(Theta, k, params, ends_to_params, estimator_names=NULL)
{
# it is assumed that the order of the parameters in T, trueParameters and endsToParameters
# is the same. This is not verified but it should be put as an explanation in the documentation
# of the function.
# debug
#---------------
obj<- list(estimates = Theta,
kValues = k,
estimators = estimator_names,
trueParameters = params,
endsToParameters = ends_to_params)
class(obj)<- append(class(obj), "Simulation")
validate(obj)
return(obj)
}
# Creates an object of class \code{Simulation1}
#
# It is used to generate plots by using method \code{plot} on an object of that class.
# Theta a matrix with four dimensions where the first dimension is the number of parameters,
# the second the number of k used in the simulation, the third the number of estimators and the
# fourth the number of repetitions in the simulation.
# k a vector of k values used in the simulation
# estimator_names a vector of strings indicating the names of the estimators used in
# the simulation
# params a vector of numeric values of the true parameters
# ends_to_params a matrix of dimensions #parameters*2 containing the incident vertices to
# the edges.
# it is assumed that the order of the parameters in T, trueParameters and endsToParameters
# is the same.
Simulation1<- function(Theta, k, params, ends_to_params, estimator_names=NULL)
{
# it is assumed that the order of the parameters in T, trueParameters and endsToParameters
# is the same. This is not verified but it should be put as an explanation in the documentation
# of the function.
# debug
#---------------
obj<- list(estimates = Theta,
kValues = k,
estimators = estimator_names,
trueParameters = params,
endsToParameters = ends_to_params)
class(obj)<- append(class(obj), "Simulation1")
validate(obj)
return(obj)
}
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