experimentY: Running a computer experiment

In metagen: Inference in Meta Analysis and Meta Regression

Description

Runs a computer experiment that evaluates the performance of different inference methods for the random effects meta regression model with respect to heterogeneity and regression coefficients.

Usage

  experimentY(n, h, d, x, b, sgnf, piv_draws)

Arguments

n	number of draws.
h	heterogeneity.
d	heteroscedasticity.
x	design matrix.
b	regression coefficients.
sgnf	significance levels.
piv_draws	privotal draws.

Value

Data frame of accumulated performance results.

Examples

h_test <- 0.03
x_test <- cbind(1,1:7)
b_test <- c(.5, .25)
sgnf_test <- c(0.025, 0.01)

set.seed(5133568) # for reproducibility
d_test <- rchisq(7, df=0.02)

# In an actual computer experiment, use 'piv_draws=1000' instead!!
experimentY(n=5, h=h_test, d=d_test, x=x_test, b=b_test,
  sgnf=sgnf_test, piv_draws=50)

metagen documentation built on May 2, 2019, 6:08 a.m.