docs: small update, add recognition of help by @arnauqb

docs/src/index.md

@@ -22,15 +22,15 @@ To install BeforeIT.jl, simply open a Julia REPL by writing `julia` in your term
 
 ```julia
 using Pkg
-Pkg.add(url="[email protected]:bancaditalia/BeforeIT.jl.git")
+Pkg.add("BeforeIT")
 ```
 
 ## Quick example
 
 To check that the installation worked, try running the model in your terminal following
 
 ```julia
-using BeforeIT, Plots
+using BeforeIT
 
 parameters = BeforeIT.AUSTRIA2010Q1.parameters
 initial_conditions = BeforeIT.AUSTRIA2010Q1.initial_conditions
@@ -42,6 +42,14 @@ data = BeforeIT.run_one_sim!(model)
 plot(data.real_gdp)
 ```
 
+To plot the results of the simulation, install the `Plots` package via ```Pkg.add("Plots")```  and then run
+
+```julia
+using Plots
+
+plot(data.real_gdp)
+```
+
 ## License
 
 BeforeIT.jl is released under the GNU Affero General Public License v3 or later (AGPLv3+).
@@ -59,6 +67,7 @@ Copyright 2024- Banca d'Italia and the authors.
 - [Marco Benedetti](https://www.bankit.art/people/marco-benedetti)
 - [Sara Corbo](https://www.bankit.art/people/sara-corbo) for the logo design
 - [Andrea Gentili](https://www.bankit.art/people/andrea-gentili) for suggesting the name of the pakege
+- [Arnau Quera-Bofarull](https://github.com/arnauqb) for help in the deployment of the documentation
 
 ## Disclaimer
 

src/agent_actions/government.jl

@@ -6,7 +6,7 @@
 Computes government expenditure on consumption and transfers to households.
 
 # Arguments
-- `gov::AbstractGovernment`: government object
+- `gov`: government object
 - `model`: model object
 
 # Returns
@@ -126,7 +126,7 @@ end
 Computes social benefits paid by the government households.
 
 # Arguments
-- `gov::AbstractGovernment`: government object
+- `gov`: government object
 - `model`: model object
 
 # Returns

src/model_init/init.jl

@@ -8,17 +8,17 @@ recursive_namedtuple(d::Dict) = MutableNamedTuple(;Dict(k => recursive_namedtupl
 Initializes the model with given parameters and initial conditions.
 
 Parameters:
-- parameters::Dict{String, Any}: A dictionary containing the model parameters.
-- initial_conditions::Dict{String, Any}: A dictionary containing the initial conditions.
-- T::Int: The time horizon of the model.
-- typeInt::DataType (optional, default: Int64): The data type to be used for integer values.
-- typeFloat::DataType (optional, default: Float64): The data type to be used for floating-point values.
+- `parameters`: A dictionary containing the model parameters.
+- initial_conditions: A dictionary containing the initial conditions.
+- T (integer): The time horizon of the model.
+- typeInt: (optional, default: Int64): The data type to be used for integer values.
+- typeFloat: (optional, default: Float64): The data type to be used for floating-point values.
 
 Returns:
 - model::Model: The initialized model.
 
 """
-function initialise_model(parameters, initial_conditions, T, typeInt = Int64, typeFloat = Float64)
+function initialise_model(parameters::Dict{String, Any}, initial_conditions::Dict{String, Any}, T, typeInt::DataType = Int64, typeFloat::DataType = Float64)
 
     ###########################################
     ############# Parameter imports ###########