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

In jtvanleuven/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.

jtvanleuven/Stickbreaker documentation built on May 20, 2019, 3:18 a.m.