typos CI

.github/dependabot.yml

@@ -5,3 +5,6 @@ updates:
     directory: "/" # Location of package manifests
     schedule:
       interval: "weekly"
+    ignore:
+      - dependency-name: "crate-ci/typos"
+        update-types: ["version-update:semver-patch"]

.github/workflows/SpellCheck.yml

@@ -0,0 +1,13 @@
+name: Spell Check
+
+on: [pull_request]
+
+jobs:
+  typos-check:
+    name: Spell Check with Typos
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Actions Repository
+        uses: actions/checkout@v3
+      - name: Check spelling
+        uses: crate-ci/typos@v1.16.23 

.typos.toml

@@ -0,0 +1,2 @@
+[default.extend-words]
+Missings = "Missings"

README.md

@@ -60,7 +60,7 @@ bayesian_result_abc = abc_inference(prob1, Tsit5(), t, data, priors)
 ### Using save_idxs to declare observables
 
 You don't always have data for all of the variables of the model. In case of certain latent variables
-you can utilise the `save_idxs` kwarg to declare the oberved variables and run the inference using any
+you can utilise the `save_idxs` kwarg to declare the observed variables and run the inference using any
 of the backends as shown below.
 
 ```julia

src/dynamichmc_inference.jl

@@ -40,7 +40,7 @@ function (P::DynamicHMCPosterior)(θ)
     u0 = convert.(T, sample_u0 ? parameters[1:nu] : problem.u0)
     p = convert.(T, sample_u0 ? parameters[(nu + 1):end] : parameters)
     if length(u0) < length(problem.u0)
-        # assumes u is ordered such that the observed variables are in the begining, consistent with ordered theta
+        # assumes u is ordered such that the observed variables are in the beginning, consistent with ordered theta
         for i in length(u0):length(problem.u0)
             push!(u0, convert(T, problem.u0[i]))
         end

src/turing_inference.jl

@@ -32,7 +32,7 @@ function turing_inference(prob::DiffEqBase.DEProblem,
         u0 = convert.(T, sample_u0 ? theta[1:nu] : prob.u0)
         p = convert.(T, sample_u0 ? theta[(nu + 1):end] : theta)
         if length(u0) < length(prob.u0)
-            # assumes u is ordered such that the observed variables are in the begining, consistent with ordered theta
+            # assumes u is ordered such that the observed variables are in the beginning, consistent with ordered theta
             for i in length(u0):length(prob.u0)
                 push!(u0, convert(T, prob.u0[i]))
             end