Merge branch 'main' into sunxd/auto_marginalization

Author: sunxd3

DoodleBUGS/README.md

@@ -1,14 +1,15 @@
 # DoodleBUGS: Browser-Based Graphical Interface for JuliaBUGS
 
-A web-based graphical editor for creating Bayesian models, inspired by DoodleBUGS and designed to work with JuliaBUGS. This project aims to provide an visual interface for building, understanding, and sharing probabilistic models.
+A web-based graphical editor for creating Bayesian models, inspired by DoodleBUGS and designed to work with JuliaBUGS. This project aims to provide a visual interface for building, understanding, and sharing probabilistic models.
 
 Try DoodleBUGS at [`https://turinglang.org/JuliaBUGS.jl/DoodleBUGS/`](https://turinglang.org/JuliaBUGS.jl/DoodleBUGS/).
 
 # Project Status: Pre-Alpha
 
 This project is currently in the pre-alpha phase of development as part of the Google Summer of Code 2025 program.
 
-> Please avoid using this project in WebKit browsers like Safari, as it may not function correctly. We recommend using Chromium-based browsers such as Google Chrome or Microsoft Edge for the best experience, It works fine in Firefox as well. And it does not work in any browser in ipadOS and iOS as all browsers in these platforms are WebKit based.
+> [!NOTE]
+> Please avoid using this project in WebKit browsers like Safari, as it may not function correctly. We recommend using Chromium-based browsers such as Google Chrome or Microsoft Edge for the best experience. It works fine in Firefox as well. Note that it does not work in any browser on iPadOS and iOS, as all browsers on these platforms are WebKit-based.
 
 - Contributor: [Shravan Goswami @shravanngoswamii](https://github.com/shravanngoswamii)
 - Mentor: [Xianda Sun @sunxd3](https://github.com/sunxd3)

DoodleBUGS/src/components/layouts/AboutModal.vue

@@ -6,16 +6,16 @@
     <template #body>
       <div class="about-content">
         <p>
-          <strong>DoodleBUGS</strong> is a graphical modeling tool designed to simplify the creation
-          of Bayesian models for analysis with BUGS language --
+          <strong>DoodleBUGS</strong> is a graphical modelling tool designed to simplify the creation
+          of Bayesian models for analysis with the BUGS language using
           <a href="https://github.com/TuringLang/JuliaBUGS.jl" target="_blank" rel="noopener noreferrer">JuliaBUGS.jl</a>.
         </p>
         <p>
           Our goal is to provide an intuitive, visual interface for statisticians,
           researchers, and students to build, understand, and share complex probabilistic models.
         </p>
         <hr />
-        <p><strong>Version:</strong> Alpha Phase -- We are just experimenting with things now!</p>
+        <p><strong>Version:</strong> Alpha Phase -- Currently in experimental development.</p>
       </div>
     </template>
     <template #footer>

JuliaBUGS/examples/README.md

@@ -1,6 +1,6 @@
 # JuliaBUGS Examples
 
-We adapted some examples to show how to use JuliaBUGS in this repo.
+We have adapted some examples to show how to use JuliaBUGS in this repository.
 
 ## Sources
 

JuliaBUGS/src/JuliaBUGS.jl

@@ -242,7 +242,7 @@ end
 """
     compile(model_def, data[, initial_params]; skip_validation=false)
 
-Compile the model with model definition and data. Optionally, initializations can be provided. 
+Compile the model with model definition and data. Optionally, initializations can be provided.
 If initializations are not provided, values will be sampled from the prior distributions.
 
 By default, validates that all functions in the model are in the BUGS allowlist (suitable for @bugs macro).
@@ -328,7 +328,7 @@ end
 """
     @bugs_primitive(func)
 
-`@bugs_primitive` can also be used to register function without definition.
+`@bugs_primitive` can also be used to register functions without definition.
 """
 macro bugs_primitive(func::Symbol)
     return _bugs_primitive_expr(func, esc(func))