Updated pkg url

DESCRIPTION

@@ -25,7 +25,7 @@ Suggests:
 License: GPL-3
 Encoding: UTF-8
 BugReports: https://github.com/ropenscilabs/vitae/issues
-URL: https://docs.ropensci.org/vitae/, https://github.com/ropenscilabs/vitae
+URL: https://pkg.mitchelloharawild.com/vitae/, https://github.com/ropenscilabs/vitae
 LazyData: true
 Roxygen: list(markdown = TRUE, roclets=c('rd', 'collate', 'namespace'))
 RoxygenNote: 7.0.2

README.Rmd

@@ -47,12 +47,12 @@ tinytex::install_tinytex()
 
 ## Getting started
 
-The *vitae* package currently supports `r length(list.dirs("inst/rmarkdown/templates/", recursive = FALSE))` popular CV templates, and adding more is a relatively simple process (details in the [creating vitae templates](https://ropenscilabs.github.io/vitae/articles/extending.html) vignette).
+The *vitae* package currently supports `r length(list.dirs("inst/rmarkdown/templates/", recursive = FALSE))` popular CV templates, and adding more is a relatively simple process (details in the [creating vitae templates](https://pkg.mitchelloharawild.com/vitae/articles/extending.html) vignette).
 
 Creating a new CV with `vitae` can be done using the RStudio R Markdown template selector:
 ![](man/figures/template_gui.png)
 
-These templates leverage the strength of rmarkdown to include common information in the YAML header (name, position, social links...) and extended information in the main body. The main body of the CV is written using markdown, and allows for data-driven generation of entries using the [`*_entries` functions](https://ropenscilabs.github.io/vitae/reference/cventries.html). This allows you to import your working history from other sources (such as ORCID, Google Scholar, or a maintained dataset), and include them programmatically into your CV.
+These templates leverage the strength of rmarkdown to include common information in the YAML header (name, position, social links...) and extended information in the main body. The main body of the CV is written using markdown, and allows for data-driven generation of entries using the [`*_entries` functions](https://pkg.mitchelloharawild.com/vitae/reference/cventries.html). This allows you to import your working history from other sources (such as ORCID, Google Scholar, or a maintained dataset), and include them programmatically into your CV.
 
 For example, the [rorcid package](https://github.com/ropensci/rorcid) can be used to extract [Rob Hyndman](https://orcid.org/0000-0002-2140-5352)'s education history:
 

README.md

@@ -47,7 +47,7 @@ tinytex::install_tinytex()
 The *vitae* package currently supports 5 popular CV templates, and
 adding more is a relatively simple process (details in the [creating
 vitae
-templates](https://ropenscilabs.github.io/vitae/articles/extending.html)
+templates](https://pkg.mitchelloharawild.com/vitae/articles/extending.html)
 vignette).
 
 Creating a new CV with `vitae` can be done using the RStudio R Markdown
@@ -58,7 +58,7 @@ information in the YAML header (name, position, social links…) and
 extended information in the main body. The main body of the CV is
 written using markdown, and allows for data-driven generation of entries
 using the [`*_entries`
-functions](https://ropenscilabs.github.io/vitae/reference/cventries.html).
+functions](https://pkg.mitchelloharawild.com/vitae/reference/cventries.html).
 This allows you to import your working history from other sources (such
 as ORCID, Google Scholar, or a maintained dataset), and include them
 programmatically into your CV.