Function reference • blipr

All functions

BLiP(): Given samples from a posterior or a list of candidate groups, BLiP performs resolution-adaptive signal detection to maximize power while controlling (e.g.) the FDR.

BLiP_cts(): BLiP when the set of locations is continuous, e.g., when working with image data.

edge_clique_cover(): Finds an edge clique cover of a graph G.

generate_changepoint_data(): Generate synthetic change point data.

generate_regression_data(): Generate synthetic sparse regression data.

hierarchical_groups(): Creates hierarchically structured candidate groups based on a distance matrix.

lattice_peps(): Computes contiguous candidate groups on a lattice R^d

lattice_peps_to_cand_groups(): Turns the output of the lattice_peps function into a list of list of candidate groups. Each sub-list corresponds to a list of completely disconnected candidate groups which can be fed to BLiP separately (this saves computation).

sequential_groups(): Calculates all sequential candidate groups below max_size.

starnet_sim_data: A simulated point-source detection image from Liu et. al (2021).

susie_groups(): Creates candidate groups based on a SuSiE model