diff --git a/src/PremadeModels.jl b/src/PremadeModels.jl
index b6f9f8e3..a6ccb8ef 100644
--- a/src/PremadeModels.jl
+++ b/src/PremadeModels.jl
@@ -8,154 +8,154 @@ export seir, sis, sir, svi
 Return a new SEIR model
 """
 function seir()
-    return deepcopy(seir_model)
+  return deepcopy(seir_model)
 end
 
 """
 Return a new SIS model
 """
 function sis()
-    return deepcopy(sis_model)
+  return deepcopy(sis_model)
 end
 
 """
 Return a new SIR model
 """
 function sir()
-    return deepcopy(sir_model)
+  return deepcopy(sir_model)
 end
 
 """
 Return a new SVI model
 """
 function svi()
-    return deepcopy(svi_model)
+  return deepcopy(svi_model)
 end
 
 
 
 seir_model = @stock_and_flow begin
 
-        :stocks
-        S
-        E
-        I
-        R
+    :stocks
+    S
+    E
+    I
+    R
 
-        :parameters
-        μ
-        β
-        tlatent
-        trecovery
-        δ
-        c
+    :parameters
+    μ
+    β
+    tlatent
+    trecovery
+    δ
+    c
 
 
-        :dynamic_variables
-        v_prevalence = NI / NS
-        v_meanInfectiousContactsPerS = c * v_prevalence # where c doesn't matter, can just make it 1
-        v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
-        v_newIncidence = S * v_perSIncidenceRate
+    :dynamic_variables
+    v_prevalence = NI / NS
+    v_meanInfectiousContactsPerS = c * v_prevalence # where c doesn't matter, can just make it 1
+    v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
+    v_newIncidence = S * v_perSIncidenceRate
 
-        v_birth = μ * N
+    v_birth = μ * N
 
-        v_inf = E / tlatent
+    v_inf = E / tlatent
 
-        v_rec = I / trecovery
+    v_rec = I / trecovery
 
 
-        v_deathS = δ * S
-        v_deathE = δ * E
-        v_deathI = δ * I
-        v_deathR = δ * R
+    v_deathS = δ * S
+    v_deathE = δ * E
+    v_deathI = δ * I
+    v_deathR = δ * R
 
 
-        :flows
-        CLOUD => f_birth(v_birth) => S
-        S => f_incid(v_newIncidence) => E
-        S => f_deathS(v_deathS) => CLOUD
-        E => f_inf(v_inf) => I
-        E => f_deathE(v_deathE) => CLOUD
-        I => f_rec(v_rec) => R
-        I => f_deathI(v_deathI) => CLOUD
-        R => f_deathR(v_deathR) => CLOUD
+    :flows
+    CLOUD => f_birth(v_birth) => S
+    S => f_incid(v_newIncidence) => E
+    S => f_deathS(v_deathS) => CLOUD
+    E => f_inf(v_inf) => I
+    E => f_deathE(v_deathE) => CLOUD
+    I => f_rec(v_rec) => R
+    I => f_deathI(v_deathI) => CLOUD
+    R => f_deathR(v_deathR) => CLOUD
 
-        :sums
-        N = [S, E, I, R]
-        NI = [I]
-        NS = [S, E, I, R]
+    :sums
+    N = [S, E, I, R]
+    NI = [I]
+    NS = [S, E, I, R]
 
 end
 
 sis_model = @stock_and_flow begin
-    :stocks
-    S
-    I
+  :stocks
+  S
+  I
 
 
-    :parameters
-    μ
-    β
-    trec # 1 / trecovery.  This corresponds to σ.
-    δ
-    c
+  :parameters
+  μ
+  β
+  trec # 1 / trecovery.  This corresponds to σ.
+  δ
+  c
 
 
-    :dynamic_variables
-    v_deathsX = δ * S
-    v_births = μ * N
+  :dynamic_variables
+  v_deathsX = δ * S
+  v_births = μ * N
 
-    v_prevalence = NI / NS
-    v_meanInfectiousContactsPerS = c * v_prevalence
-    v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
-    v_newIncidence = S * v_perSIncidenceRate
+  v_prevalence = NI / NS
+  v_meanInfectiousContactsPerS = c * v_prevalence
+  v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
+  v_newIncidence = S * v_perSIncidenceRate
 
-    v_newRecovery = I * trec
-    v_deathsI = I * δ
+  v_newRecovery = I * trec
+  v_deathsI = I * δ
 
-    :flows
+  :flows
 
-    S => f_deathsX(v_deathsX) => CLOUD
-    CLOUD => f_births(v_births) => S
-    S => f_newInfectious(v_newIncidence) => I
-    I => f_newRecovery(v_newRecovery) => S
+  S => f_deathsX(v_deathsX) => CLOUD
+  CLOUD => f_births(v_births) => S
+  S => f_newInfectious(v_newIncidence) => I
+  I => f_newRecovery(v_newRecovery) => S
 
-    I => f_deathsI(v_deathsI) => CLOUD
+  I => f_deathsI(v_deathsI) => CLOUD
 
-    :sums
-    N = [S, I]
-    NI = [I]
-    NS = [S, I]
+  :sums
+  N = [S, I]
+  NI = [I]
+  NS = [S, I]
 
 end
 
 
 sir_model = @stock_and_flow begin
-    :stocks
-    S
-    I
-    R
+  :stocks
+  S
+  I
+  R
 
-    :parameters
-    c
-    β
-    rRec
+  :parameters
+  c
+  β
+  rRec
 
-    :dynamic_variables
-    v_prevalence = NI / NS
-    v_meanInfectiousContactsPerS = c * v_prevalence
-    v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
-    v_newInfections = S * v_perSIncidenceRate
-    v_newRecovery = I * rRec
+  :dynamic_variables
+  v_prevalence = NI / NS
+  v_meanInfectiousContactsPerS = c * v_prevalence
+  v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
+  v_newInfections = S * v_perSIncidenceRate
+  v_newRecovery = I * rRec
 
-    :flows
-    S => f_inf(v_newInfections) => I
-    I => f_rec(v_newRecovery) => R
+  :flows
+  S => f_inf(v_newInfections) => I
+  I => f_rec(v_newRecovery) => R
 
-    :sums
-    N = [S, I, R]
-    NI = [I]
-    NS = [S,I,R]
+  :sums
+  N = [S, I, R]
+  NI = [I]
+  NS = [S,I,R]
 
 
 end
@@ -164,39 +164,39 @@ end
 
 svi_model = @stock_and_flow begin
 
-    :stocks
-    S
-    V
-    I
+  :stocks
+  S
+  V
+  I
 
-    :parameters
-    rvaccine
-    δ
-    evaccine
-    c
-    β
+  :parameters
+  rvaccine
+  δ
+  evaccine
+  c
+  β
 
-    :dynamic_variables
-    v_vacc = S * rvaccine
-    v_deathV = δ * V
+  :dynamic_variables
+  v_vacc = S * rvaccine
+  v_deathV = δ * V
 
-    v_prevalence = NI / NS
-    v_meanInfectiousContactsPerS = c * v_prevalence
-    v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
-    v_vaccineInfectionRate = V / evaccine # same thing as multiplying by complement
-    v_perSIncidenceVaccinated = v_vaccineInfectionRate * v_perSIncidenceRate
+  v_prevalence = NI / NS
+  v_meanInfectiousContactsPerS = c * v_prevalence
+  v_perSIncidenceRate = β * v_meanInfectiousContactsPerS
+  v_vaccineInfectionRate = V / evaccine # same thing as multiplying by complement
+  v_perSIncidenceVaccinated = v_vaccineInfectionRate * v_perSIncidenceRate
 
 
-    :flows
-    S => f_vacc(v_vacc) => V
-    V => f_deathV(v_deathV) => CLOUD
-    V => f_infV(v_perSIncidenceVaccinated) => I
+  :flows
+  S => f_vacc(v_vacc) => V
+  V => f_deathV(v_deathV) => CLOUD
+  V => f_infV(v_perSIncidenceVaccinated) => I
 
 
-    :sums
-    N = [S, V, I]
-    NI = [I]
-    NS = [S, V, I]
+  :sums
+  N = [S, V, I]
+  NI = [I]
+  NS = [S, V, I]
 
 end