I'm currently working on converting survival curves plotted by ggsurvplot to a plotly chart. However it does not plot the confidence intervals provided by ggsurv. The following warning was generated when i tried to plot it.
Warning in geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomConfint() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues

This is the code to generate the plot using ggsurvplot

p<-ggsurvplot(
survfit(res),
xlab = "Chargeoff Time (Months)",
palette = "#2E9FDF",
data = final_data,
ggtheme = theme_minimal(),
ylab = "Loan Survival Probablity",
)

This is to generate the same plot using plotly

plotly::ggplotly(p$plot)

Can this be implemented?