Rm vignette link as canonical form cannot be found

README.Rmd

@@ -131,7 +131,7 @@ ggplot(data_cfr) +
   ) +
   scale_colour_brewer(
     palette = "Dark2",
-    labels = c("Corrected CFR","Naive CFR"),
+    labels = c("Corrected CFR", "Naive CFR"),
     name = NULL
   ) +
   scale_fill_brewer(
@@ -168,7 +168,7 @@ Please note that the _{{ packagename }}_ project is released with a [Contributor
 
 _cfr_ functionality overlaps with that of some other packages, including
 
-- [_coarseDataTools_](https://cran.r-project.org/package=coarseDataTools) is an R package that allows estimation of relative [case fatality risk](https://cran.r-project.org/web/packages/coarseDataTools/vignettes/CFR_vignette.html) between covariate groups while accounting for delays due to survival time, when numbers of deaths and recoveries over time are known. _cfr_ uses simpler methods from @nishiura2009 that can be applied when only cases and deaths over time are known, generating estimates based on all data to date, as well as time-varying estimates. _cfr_ can also convert estimates of cases with known outcomes over time into an estimate of under-ascertainment, if a baseline estimate of fatality risk is available from the literature (e.g. from past outbreaks). 
+- [_coarseDataTools_](https://cran.r-project.org/package=coarseDataTools) is an R package that allows estimation of relative case fatality risk between covariate groups while accounting for delays due to survival time, when numbers of deaths and recoveries over time are known. _cfr_ uses simpler methods from @nishiura2009 that can be applied when only cases and deaths over time are known, generating estimates based on all data to date, as well as time-varying estimates. _cfr_ can also convert estimates of cases with known outcomes over time into an estimate of under-ascertainment, if a baseline estimate of fatality risk is available from the literature (e.g. from past outbreaks). 
 - [_EpiNow2_](https://cran.r-project.org/package=EpiNow2) is an R package that can allow estimation of case fatality risk if it is defined as a secondary observation of cases. In particular, it allows for estimation that accounts for the smooth underlying epidemic process, but this requires additional computational effort. A comparison of these methods is planned for a future release.
 
 _cfr_ is in future expected to benefit from the functionality of the forthcoming [_epiparameter_ package](https://epiverse-trace.github.io/epiparameter/), which is also developed by Epiverse-TRACE. _epiparameter_ aims to provide a library of epidemiological parameters to parameterise delay density functions, as well as the convenient `<epidist>` class to store, access, and pass these parameters for delay correction.