just the link

DESCRIPTION

@@ -2,7 +2,7 @@ Package: fastdid
 Type: Package
 Title: Fast Staggered Difference-in-Difference Estimators
 Version: 0.9.9
-Date: 2024-08-13
+Date: 2024-09-08
 Authors@R: c(
   person("Lin-Tung","Tsai",
          role = c("aut", "cre", "cph"),

NEWS.md

@@ -1,7 +1,7 @@
 # 0.9.9 (2024/9/1)
 
 - add double did (see the vignette for the introduction)
-- add `parallel`, parallization for unix systems (Parallization doesn't really work for Windows R)
+- add `parallel`, parallization for unix systems, useful if the number of g-t is large. 
 - add `full`, return full result such as influence function, aggregate scheme, and such
 - add `min`/`max_dynamic`, `custom_scheme` to experimental features
 

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/2202.02903) 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). 
 
 # Getting Started
 
@@ -31,7 +31,7 @@ The function returns a `data.table` that includes the estimates. Column `att` is
 
 To create event study plots, use `plot_did_dynamics(did_estimate)`. 
 
-# Learn More
+# More
 
   - [did](https://bcallaway11.github.io/did/articles/did-basics.html): staggered Difference in Difference by Callaway and Sant'Anna
   - [fastdid](../reference/fastdid.html): full list of arguments and features.