Hotfix: Link to getting started in articles drop down

epinowcast · Feb 10, 2025 · f5deb76 · f5deb76
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Showing 6 changed files with 7 additions and 7 deletions.
diff --git a/_pkgdown.yml b/_pkgdown.yml
@@ -24,7 +24,7 @@ navbar:
       - text: "──── First steps ────"
         href: null
       - text: "Getting started"
-        href: articles/getting-started.html
+        href: articles/primarycensored.html
       - text: "──── Methodology ────"
         href: null
       - text: "Why it works"

diff --git a/vignettes/analytic-solutions.Rmd b/vignettes/analytic-solutions.Rmd
@@ -18,7 +18,7 @@ vignette: >
 
 # Introduction
 
-## What are we going to do in this Vignette
+## What are we going to do in this vignette
 
 In this vignette, we'll derive the analytic solutions for the primary censored delay distributions for a range of commonly used distributions.
 

diff --git a/vignettes/fitting-dists-with-fitdistrplus.Rmd b/vignettes/fitting-dists-with-fitdistrplus.Rmd
@@ -19,7 +19,7 @@ vignette: >
 
 # Introduction
 
-## What are we going to do in this Vignette
+## What are we going to do in this vignette
 
 In this vignette, we'll demonstrate how to use `primarycensored` in conjunction with `fitdistrplus` for fitting distributions. We'll cover the following key points:
 
@@ -33,7 +33,7 @@ In this vignette, we'll demonstrate how to use `primarycensored` in conjunction
 
 This vignette assumes some familiarity with the `fitdistrplus` package. If you are not familiar with it then you might want to start with the [Introduction to `fitdistrplus`](https://cran.r-project.org/web/packages/fitdistrplus/vignettes/fitdistrplus_vignette.html) vignette.
 
-## How does this vignette differ from the `vignette("fitting-dists-with-stan")`
+## How does this vignette differ from fitting distributions with Stan vignette
 
 This vignette is similar to the `vignette("fitting-dists-with-stan")` vignette in that it shows how to fit a distribution using `primarycensored`. However, here we use maximum likelihood estimation (MLE) to fit the distribution, rather than MCMC. In some settings this may result in a faster fit, but in other settings especially when the data is complex, MCMC may be more reliable. The major benefit of the `fitdistrplus` approach is that we don't need to install additional software (Stan) to fit the distribution. **Note that rather than returning credible intervals, the `fitdistrplus` package returns standard errors and confidence intervals.**
 

diff --git a/vignettes/fitting-dists-with-stan.Rmd b/vignettes/fitting-dists-with-stan.Rmd
@@ -19,7 +19,7 @@ vignette: >
 
 # Introduction
 
-## What are we going to do in this Vignette
+## What are we going to do in this vignette
 
 In this vignette, we'll demonstrate how to use `primarycensored` in conjunction with Stan for Bayesian inference of epidemiological delay distributions. We'll cover the following key points:
 

diff --git a/vignettes/using-stan-tools.Rmd b/vignettes/using-stan-tools.Rmd
@@ -20,7 +20,7 @@ vignette: >
 
 # Introduction
 
-## What are we going to do in this Vignette
+## What are we going to do in this vignette
 
 In this vignette, we'll explore how to use the `primarycensored` package in your Stan modelling workflow. We'll cover the following key points:
 

diff --git a/vignettes/why-it-works.Rmd b/vignettes/why-it-works.Rmd
@@ -18,7 +18,7 @@ vignette: >
 
 # Introduction
 
-## What are we going to do in this Vignette
+## What are we going to do in this vignette
 
 In this vignette, we'll explain the statistical model that the `primarycensored` package is based on. We'll cover the following key points: