metastudies_estimation: Perform Andrews and Kasy (2019) estimation

In skranz/MetaStudies: Shiny app and function for Meta studies following Andrews and Kasy (2019).

Description

Perform Andrews and Kasy (2019) estimation

Usage

metastudies_estimation(
  X,
  sigma,
  cutoffs = c(1.96),
  symmetric = FALSE,
  model = "normal",
  eval.max = 10^5,
  iter.max = 10^5,
  abs.tol = 10^(-8),
  stepsize = 10^(-6)
)

Arguments

X	vector of reported coefficients
sigma	vector of reported stanard errors
cutoffs	significance thresholds that define intervals of different publication probabilities, e.g. c(1.645, 1.96, 2.576).
symmetric	if TRUE assume that positive and negative z-statistics are symmetrically distributed.
model	either "normal" or "t". The assumed functional form of the distribution absent publication bias.
eval.max, iter.max, abs.tol	Control parameters for [stats::nlminb].

skranz/MetaStudies documentation built on Dec. 23, 2021, 3:23 a.m.