rma.exact (version 0.1.0)

rma.exact.fast: Compute a confidence interval for the grand mean at a user-specified confidence level.

Description

Compute a confidence interval for the grand mean at a user-specified confidence level.

Usage

rma.exact.fast(yi, vi, c0 = 1.2 * (length(yi) < 6) + 0.6 * (length(yi) >= 6 &
  length(yi) < 10) + 0.2 * (length(yi) >= 10), level = 0.05, plot = TRUE,
  tau2.bounds = NULL, resolution = 100, Z = NULL, B = 3000,
  tau2.alpha = 0.995)

Arguments

yi

vector of measurements from the primary studies

vi

vector of the variances of the measurements in yi

c0

vector of the mixing parameters for the test statistics

level

the level of the confidence interval

plot

indicator whether to plot the contour of the confidence region

tau2.bounds

upper and lower bounds for the range of population variance values for constructing the confidence region; if NULL, value will be calculated from tau2.alpha

resolution

resolution of the population variance values for constructing the confidence region

Z

a matrix of length(yi) rows with each row consisting of standard normal samples to be used in the monte carlo estimation of the null distribution of the test statistic; if NULL, B values will be sampled per row

B

the number of monte carlo replicates per primary study observation to be used

tau2.alpha

the level of the exact CI with which to bounds on population variance when constructing the confidence region

Value

a matrix with length(c0) rows and each row containing the lower and upper endpoints of the confidence interval for the given mixing parameter

See Also

rma.exact for computing entire confidence regions

Examples

# NOT RUN {
K <- 5
c0 <- 1
mu0 <- 0
tau2 <- 12.5
vi <- (seq(1, 5, length=K))^2
yi=rnorm(K)*sqrt(vi+tau2)+mu0
rma.exact.fast(yi=yi,vi=vi,level=.05)
# }