Last data update: 2014.03.03

R: Running a computer experiment
experimentYR Documentation

Running a computer experiment

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)

Results