Update README.md

README.md

@@ -6,7 +6,7 @@ Univariate prediction functions from diverse packages supported in a simple stat
      for yt in y:
          xt, xt_std, s = f(y=yt, s=s, k=3)
          
-This emits a k-vector `xt` of forecasts, and corresponding k-vector `xt_std` of estimated standard errors, and the posterior state `s` needed for the next call. See [skaters](https://microprediction.github.io/timemachines/skaters) for choices of `somepackage`, `somevariety` and `something`. You can also ensemble, compose, bootstrap and do other things with one line of code. The `f` is called a `skater`. These are ([documented](https://microprediction.github.io/timemachines/) and [assessed](https://microprediction.github.io/timeseries-elo-ratings/html_leaderboards/overall.html)).  See [why](https://microprediction.github.io/timemachines/why) for motivation for doing things in **walk-forward incremental** fashion with **one line of code**. 
+This emits a k-vector `xt` of forecasts, and corresponding k-vector `xt_std` of estimated standard errors, and the posterior state `s` needed for the next call. See [skaters](https://microprediction.github.io/timemachines/skaters) for choices of `somepackage`, `somevariety` and `something`. You can also ensemble, compose, bootstrap and do other things with one line of code. The `f` is called a `skater`. These are ([documented](https://microprediction.github.io/timemachines/) and [assessed](https://microprediction.github.io/timeseries-elo-ratings/html_leaderboards/overall.html)).  See [why](https://microprediction.github.io/timemachines/why) for motivation for doing things in **walk-forward incremental** functional fashion with **one line of code**. 
 
 Test for the following packages are expected to be working, and their use in this context reliable: 
 - ![tsa](https://github.com/microprediction/timemachines/workflows/test-tsa/badge.svg)    Statsmodels