change to jldoctest

EpiAware/src/EpiLatentModels/odemodels/SEIRParams.jl

@@ -70,7 +70,7 @@ population that is exposed, `I` is the proportion of the population that is infe
 the proportion of the population that is recovered. The parameters are the infectiousness `β`,
 the incubation rate `α` and the recovery rate `γ`.
 
-```julia
+```jldoctest; output = false
 using EpiAware, OrdinaryDiffEq, Distributions
 
 # Create an instance of SIRParams
@@ -81,6 +81,10 @@ seirparams = SEIRParams(
     recovery_rate = LogNormal(log(0.1), 0.05),
     initial_prop_infected = Beta(1, 99)
 )
+nothing
+
+# output
+
 ```
 """
 struct SEIRParams{
@@ -136,7 +140,7 @@ reason for this is that these are the equilibrium proportions in a constant inci
 
 # Example
 
-```julia
+```jldoctest; output = false
 using EpiAware, OrdinaryDiffEq, Distributions
 
 # Create an instance of SIRParams
@@ -152,6 +156,10 @@ seirparam_mdl = generate_latent(seirparams, nothing)
 
 # Sample the parameters of SEIR model
 sampled_params = rand(seirparam_mdl)
+nothing
+
+# output
+
 ```
 
 # Returns

EpiAware/src/EpiLatentModels/odemodels/SIRParams.jl

@@ -67,7 +67,7 @@ parameters are the infectiousness `β` and the recovery rate `γ`.
 
 # Example
 
-```julia
+```jldoctest; output = false
  using EpiAware, OrdinaryDiffEq, Distributions
 
 # Create an instance of SIRParams
@@ -77,6 +77,10 @@ sirparams = SIRParams(
     recovery_rate = LogNormal(log(0.1), 0.05),
     initial_prop_infected = Beta(1, 99)
 )
+nothing
+
+# output
+
 ```
 """
 struct SIRParams{P <: ODEProblem, D <: Sampleable, E <: Sampleable, F <: Sampleable} <:
@@ -118,7 +122,7 @@ parameters are the infectiousness `β` and the recovery rate `γ`.
 
 # Example
 
-```julia
+```jldoctest; output = false
 using EpiAware, OrdinaryDiffEq, Distributions
 
 # Create an instance of SIRParams
@@ -133,6 +137,10 @@ sirparam_mdl = generate_latent(sirparams, nothing)
 
 #sample the parameters of SIR model
 sampled_params = rand(sirparam_mdl)
+nothing
+
+# output
+
 ```
 
 # Returns