ctmaPRaw: ctmaPRaw

In CoTiMA: Continuous Time Meta-Analysis ('CoTiMA')

ctmaPRaw

Description

Converts empirical correlation matrices to pseudo raw data (i.e. random data, that perfectly reproduce the correlations)

Usage

ctmaPRaw(
  empCovMat = NULL,
  empNMat = matrix(0, 0, 0),
  empN = NULL,
  studyNumber = NULL,
  empMeanVector = NULL,
  empVarVector = NULL,
  activateRPB = FALSE,
  experimental = FALSE
)

Arguments

empCovMat	empirical primary study covariance matrix
empNMat	matrix of (possibly pairwise) N
empN	N (in case of listwise N)
studyNumber	internal number
empMeanVector	vector of means for all variables, usually 0
empVarVector	vector of variances for all variables, usually 1
activateRPB	set TRUE to receive push messages with 'CoTiMA' notifications on your phone
experimental	set TRUE to try new pairwise N function

CoTiMA documentation built on Nov. 10, 2022, 5:16 p.m.