add coming soon

Author: TsaiLintung

README.md

@@ -8,7 +8,7 @@
 fastdid implements the Difference-in-Differences (DiD) estimators in [Callaway and Sant'Anna's (2021)](https://www.sciencedirect.com/science/article/pii/S0304407620303948), it is
 
   - fast, reducing the computation time with millions of units from hours to [seconds](articles/misc.html),
-  - flexible, with extensions such as [time-varying covariates](https://arxiv.org/abs/2406.15288) and [multiple events](not_ready_yet). 
+  - flexible, with extensions such as [time-varying covariates](https://arxiv.org/abs/2406.15288) and [multiple events](not_ready_yet) (coming soon!). 
 
 # Getting Started
 

vignettes/double.Rmd

@@ -14,7 +14,7 @@ knitr::opts_chunk$set(
 )
 ```
 
-Here we show how to deal with confounding events, see [Tsai (2024)](not_ready_yet) for the full treatment. We first simulate some data with confounding events. 
+Here we show how to deal with confounding events, see [Tsai (2024)](not_ready_yet) (coming soon!) for the full treatment. We first simulate some data with confounding events. 
 
 ```{r setup}
 library(fastdid)