Add of distributed algorithm for the reference table creation in abc model choice. Documentation for abc model choice methods.

change the stop criteration of a ContinuousTimeModel simulation.
Minor fix  in ContinuousTimeModel for the euclidean distance automata
tests.
Add of a test for stop criteria simulation of ContinousTimeModel
(unit/simulation_stop_criteria).

All tests passed.

Fix of distributed abc smc tests + add of a test.
Preparation for the new feature: add a stop criteria in the simulation.
All tests passed.

It computes the euclidean distance and finish the simulation if the
distance is above the tolerance epsilon.
I ha to change some function signature of types in core/model.jl but it
was minor changes.
I add a new test + change some others related to automata.
A minor rewriting core/model for better readability

The solution is to use FunctionWrappers.jl which provides a high
interface for C function pointers.

All tests passed.

implemetend in the package.
A lot of files has been modified because some of the internal syntax has
changed. But the top level methods should still work.

Two tests about the plots of synchronized oscillatory simulations have
been added.

All tests passed.

This commit groups the change operated to the creation of models and
simulate function of a ContinuousTimeModel.
The general idea is to create a concrete type and a simulate function
 per model creation by metaprogramming.
- Now, ContinuousTimeModel is an abstract type. Each creation of a model
defines a concrete type T <: ContinuousTimeModel by meta programming.
- f! and isabsorbing ContinuousTimeModel fields are Symbols.
- simulate(::ContinuousTimeModel) is run by multiple dispatch, according
to the type of the model.

Can't run the whole tests for now but unit/simulate_available_models.jl
runs properly (i've updated the list of models in this commit), and I've
manually checked in the repl that simulations run correctly (distributed
/ plots).

check_constraints and update_state! functions of an Edge in order to
improve performance.
Acutally the gain is low, but it improved the readabilty of the code.
All tests passed.

integrated poisson model wasn't updated
improvement of plots
fix of synchronized simulation when state is absorbing
All tests passed

All automata were readapted and are in accordance with the last description of the thesis. Tests passed

check_constraint and update_state functions are created inside
create_automaton_*(), by the evaluation of meta_elementary_functions <:
Expr. check_constraint and update_state don't depend on constants::Dict
anymore: constants are interpolated inside the expression.

Add of tests for euclidean distance automaton.
Add a new function euclidean_distance that computes the euclidean
distance of a Trajectory compared to observations along a discrete
timeline.

automata and proba moels are differents. This bug was introduced after
we change the structure of automata in order to better distributed
programming.
It leads to a restructuration of automata. In fine, the structure is
more stable and consistent. It is possible it is more computationally
efficient, but for now it is not well tested.

2) Creation of functions that collects data along with a timeline
over a trajectory + unit test vectorize.

3) Very small fix in plots and abc smc.

Simulation of synchronized models is easily distributable.
Change of the signature of check_constraints and update_state in order
to access the model parameters.
Test about distributed simulations was renamed and completed.

now the package has a better structure for distributed simulations by better definition of functions over workers + test

Replaced access of fields in models with getfield. Improvement of distribute_mean_lha_value: number of accepts are computed simultaneously.3

Fix in simulation of macro generated models. Small changes with variables types of the pkg. Small change in test of macro models.

models. It's a better semantic and improve performance as well as
readability of the code. All the tests passes (except the remark in the
last commit).

variableautomaton. It improves performance.

Tests of Cosmos doesn't pass on the bounds (with a parameter equal to
zero). It's a problem of design (there are issues for cosmos too).

of automata: it wasn't an issue about the simulation code of LHA but an
issue of LHA designs.

Improvement of a Cosmos utils method.

Now A.constants is a NamedTuple.

distributed_mean_value_lha now takes several variables.