pred_int_jb: Prediction Interval for Random-effects Meta-analysis, which...

In femiguez/predintma: Prediction Intervals for Meta-Analysis

Description

Prediction for Random-effects Model using Subsampling

Usage

pred_int_jb(formula, data, level = 0.95, iter = 10, R = 50, var.names = NULL)

Arguments

formula	standard formula with response ~ trial
data	should be an object of class "data.frame"
level	coverage level with default 0.95
iter	number of iterations for the bootstrap level 1
R	number of iterations for the bootstrap level 2
var.names	variable names to be passed to the 'data.frame' methods

Value

a list with 'pdi' prediction intervals, 'cf' correction factor and 'coverage' empirical coverage

Examples

## Not run: 
## Using soybean row spacing
data(soyrs)
pdi.rs <- pred_int_jb(formula = lrr ~ Trial_ID, data = soyrs) 
data(soysff)
pdi.ff <- pred_int_jb(formula = lrr ~ Trial_ID, data = soysff) 

## End(Not run)

femiguez/predintma documentation built on July 5, 2021, 4:16 a.m.