bf.cal.meta: Bayes Factor Calculation Scheme for META prior

In INTRIGUE: Quantify and Control Reproducibility in High-Throughput Experiments

Description

A function that calculates bayes factor for each data pair on each grid point in log scale.

Usage

bf.cal.meta(data, hyperparam = NULL, bf.only = FALSE)

Arguments

data	A dataset which is constructed by pairs of coefficient values β and standard errors se(β).
hyperparam	A two-dimensional vector denoting all the grid points, namely, φ x ω.
bf.only	A boolean, denoting whether this function is called to calculate Bayes factor for META prior only. Usually used when publication bias issue is the target.

Value

A list records all the log scale bayes factor values or a list records log scale bayes factor for null, reproducible and irreproducible model (when bf.only=TRUE).

INTRIGUE documentation built on Nov. 8, 2020, 4:30 p.m.