publipha (version 0.1.2)

ExtractParameters: Extract Parameters from an mafit Object

Description

Extract samples from a model of class mafit and apply a function fun to them.

Usage

extract_theta0(object, fun = mean)
extract_theta(object, fun = mean, i)
extract_tau(object, fun = mean)
extract_eta(object, fun = mean, i)
extract_isq(object, fun = mean)

Value

The result of FUN being applied to all estimated parameters of object.

Arguments

object

an object of class mafit.

fun

the function to be applied to the fitted parameters.

i

an optional index specifying which parameter to apply fun to. Only for extract_eta and extract_theta.

Details

Support parameters for extraction are: The meta-analytic mean theta0, the individual means theta, the heterogeneity parameter tau, the selection bias parameter eta, and the I squared isq. See Higgins and Thompson (2002) for details about I squared.

All extract_ functions are wrappers around rstan::extract.

References

Higgins, J. P., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in medicine, 21(11), 1539-1558.

Examples

# \donttest{
set.seed(313)
model <- publipha::psma(yi = yi, vi = vi, data = dat.baskerville2012)
extract_theta0(model, mean) # [1] extract_theta0(model, mean)
extract_theta0(model, sd) # [1] 0.1095921
extract_tau(model, mean) # [1] 0.1315312
extract_theta(model, hist, i = 5)
# }