This website accompanies the paper:

- Accumulation tests for FDR control in ordered hypothesis testing.

Ang Li and Rina Foygel Barber. arXiv:1505.07352 (To appear in JASA.)

This paper proposes a family of

**accumulation tests**for ordered hypothesis testing, where we seek to test a ranked list of

*n*hypotheses,

*H*, accompanied by p-values

_{1}, ..., H_{n}*p*. The main idea is to estimate the false discovery proportion among the top

_{1}, ..., p_{n}*k*hypotheses in the ranked list, for each

*k=1,...,n*, to determine an adaptive cutoff for the list. We aim to find a cutoff

*k*that enables us to discover as many true signals as possible while controlling the false discovery rate. For more information, see the paper.

Here we give code in the R language providing an implementation of the accumulation test method, and reproducing the empirical results in the paper.