ncp.pool.pred: prediction model of the non-centrality parameter from...

In hiPOD: hierarchical Pooled Optimal Design

Description

the prediction model, summarized from the simulation results

Usage

data(ncp.pool.pred)

Format

The format is: List of 2 $ : num [1:4] 0.02 0.05 0.1 1 $ :List of 4 ..$ : Named num [1:29] -1.067976 19.704888 1.217199 -2.612229 -0.000886 ... .. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ... ..$ : Named num [1:29] -1.11889 4.47646 1.57193 -2.83448 -0.00108 ... .. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ... ..$ : Named num [1:29] -1.152848 2.57742 1.816014 -1.521528 -0.000948 ... .. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ... ..$ : Named num [1:29] -1.17164 0.65682 1.89042 -0.81605 -0.00127 ... .. ..- attr(*, "names")= chr [1:29] "(Intercept)" "MAF" "log(OR)" "error" ...

Examples

data(ncp.pool.pred)
## maybe str(ncp.pool.pred) ; plot(ncp.pool.pred) ...

hiPOD documentation built on May 1, 2019, 6:34 p.m.