summarize.posteriors.on.simulated.dataset: Calculate classification performance on simulated data

In Stickbreaker: Fits Stickbreaking, Multiplicative and Additive Models to Data

Description

Calculate classification performance on simulated data

Usage

summarize.posteriors.on.simulated.dataset(data, rej.cut = 0.05, n.muts)

Arguments

data	Dataset as generated by sim.data.from.priors.for.mod.selection or sim.data.for.mod.selection
rej.cut	Rejection cutoff point specifies at what posterior probability is a model rejected. Default is 0.05.
n.muts	Vector of number of mutations to simulate

Details

If a model has posterior probability < rej.cut, it is rejected. If a model has posterior probability ≥ 1-rej.cut, it is considered uniquely accepted.

Value

Dataframe with false rejection rate, correct and unique classification rate, and mean posterior probability for each parameter combination in the data.

Stickbreaker documentation built on May 29, 2017, 9:01 a.m.