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README.md

@@ -115,6 +115,6 @@ const random = d3.randomNormal.source(d3.randomLcg(seed))(0, 1);
 random(); // -0.6253955998897069
 ```
 
-<a name="randomLcg" href="#randomLcg">#</a> d3.<b>randomLcg</b>(<i>[seed]</i>) · [Examples](https://observablehq.com/@fil/linear-congruential-generator)
+<a name="randomLcg" href="#randomLcg">#</a> d3.<b>randomLcg</b>([<i>seed</i>]) · [Source](https://github.com/d3/d3-random/blob/master/src/lcg.js), [Examples](https://observablehq.com/@d3/d3-randomlcg)
 
 Returns a [linear congruential generator](https://en.wikipedia.org/wiki/Linear_congruential_generator); this function can be called repeatedly to obtain pseudorandom values well-distributed on the interval [0,1) and with a long period (up to 1 billion numbers), similar to Math.random. A *seed* can be specified as a number in the interval [0,1). Two generators instanced with the same seed generate the same sequence, allowing to create reproducible pseudo-random experiments. If the *seed* is not specified, one is chosen using Math.random.