url cleaning

ropensci · Jan 10, 2024 · 4846954 · 4846954
1 parent 44cb389
commit 4846954
Show file tree

Hide file tree

Showing 5 changed files with 43 additions and 108 deletions.
diff --git a/R/bibentries.R b/R/bibentries.R
@@ -13,13 +13,12 @@ cite = function(entry){
    volume      = "45",
    number      = "1",
    pages       = "5--32",
-   doi         = "10.1023/A:1010933404324",
+   # doi         = "10.1023/A:1010933404324",
    issn        = "1573-0565"
   ),
   ishwaran_2008 = utils::bibentry(
    "article",
-   doi         = "10.1214/08-aoas169",
-   url         = "https://doi.org/10.1214/08-aoas169",
+   # doi         = "10.1214/08-aoas169",
    year        = "2008",
    month       = "9",
    publisher   = "Institute of Mathematical Statistics",
@@ -31,7 +30,7 @@ cite = function(entry){
   ),
   jaeger_2019 = utils::bibentry(
    "article",
-   doi           = "10.1214/19-aoas1261",
+   # doi           = "10.1214/19-aoas1261",
    year          = "2019",
    month         = "9",
    publisher     = "Institute of Mathematical Statistics",
@@ -46,7 +45,7 @@ cite = function(entry){
    title         = "Accelerated and interpretable oblique random survival forests",
    author        = "Byron C. Jaeger and Sawyer Welden and Kristin Lenoir and Jaime L. Speiser and Matthew W. Segar and Ambarish Pandey and Nicholas M. Pajewski",
    journal       = "Journal of Computational and Graphical Statistics",
-   doi           = "10.1080/10618600.2023.2231048",
+   # doi           = "10.1080/10618600.2023.2231048",
    year          = "2023",
    month         = "8",
    publisher     = "Taylor & Francis",

diff --git a/Rmd/orsf-fit-intro.Rmd b/Rmd/orsf-fit-intro.Rmd
@@ -23,7 +23,7 @@ bill_fit
 
 ```
 
-My personal favorite is the oblique survival RF with accelerated Cox regression because it was the first type of oblique RF that `aorsf` provided (see [JCGS paper](https://doi.org/10.1080/10618600.2023.2231048)). Here, we use it to predict mortality risk following diagnosis of primary biliary cirrhosis:
+My personal favorite is the oblique survival RF with accelerated Cox regression because it was the first type of oblique RF that `aorsf` provided (see [JCGS paper](https://www.tandfonline.com/doi/full/10.1080/10618600.2023.2231048)). Here, we use it to predict mortality risk following diagnosis of primary biliary cirrhosis:
 
 ```{r}
 # An oblique survival RF

diff --git a/man/orsf.Rd b/man/orsf.Rd
diff --git a/man/orsf_pd_oob.Rd b/man/orsf_pd_oob.Rd
diff --git a/man/orsf_vi.Rd b/man/orsf_vi.Rd
-Original file line number
+Diff line change
@@ Expand Up / @@ -23,7 +23,7 @@ bill_fit @@
     ```
-    My personal favorite is the oblique survival RF with accelerated Cox regression because it was the first type of oblique RF that `aorsf` provided (see [JCGS paper](https://doi.org/10.1080/10618600.2023.2231048)). Here, we use it to predict mortality risk following diagnosis of primary biliary cirrhosis:
+    My personal favorite is the oblique survival RF with accelerated Cox regression because it was the first type of oblique RF that `aorsf` provided (see [JCGS paper](https://www.tandfonline.com/doi/full/10.1080/10618600.2023.2231048)). Here, we use it to predict mortality risk following diagnosis of primary biliary cirrhosis:
     ```{r}
     # An oblique survival RF
@@ Expand Down @@