processPSMs: processPSMs

In magStra/nonparametricSummaryPSM: Nonparametric methods to find optimal weights to combine posterior similarity matrices

Description

processPSMs

Usage

processPSMs(PSMs)

Arguments

PSMs	3-dimensional array of PSMs, for each j PSMs[,,j] is the PSM of subsampled chain j

Value

weightedPSM: weighted summary PSM obtained using a Pitman-Yor process mixture model with variable selection

sumClustPEAR: final summary clustering obtained from weightedPSM using the PEAR criterion

weightedPSM_DP weighted summary PSM obtained using a Dirichlet process mixture model with variable selection

sumClustPEAR_DP: final summary clustering obtained from weightedPSM_DP using the PEAR criterion

weights: weights which were used for the computation of the summary PSM (Pitman-Yor based model)

weights_DP: weights which were used for the computation of the summary PSM (Dirichlet based model)

Author(s)

Magdalena Strauss

magStra/nonparametricSummaryPSM documentation built on July 15, 2019, 5:59 p.m.