ranksProb_byEffect: Ranks probability of the covariate given the test-effect size
In mshasan/OPWpaper: Reproduce figures and simulations of OPWeight

Description Usage Arguments Details Value Author(s) See Also Examples

Comnpute the ranks probability for different test-effect sizes

1	ranksProb_byEffect(i, null, m, nrep = 10000, covariateEffectVec)

`i`	i Integer, i-th effect size of a vector of effects
`null`	Numeric, proportion of the true null hypothesis
`m`	Integer, total number of hypothesis test
`nrep`	Integer, number of replications for the importance sampling
`covariateEffectVec`	A numeric vector of the covariate-effect sizes

This function compute ranks probabilities for the different effect sizes. It apply the function prob_ranks_givenEffect from the OPWeight package and compute the probabilities.

A numeric matrix of the ranks pobabilities in which each column corresponds to an effect size

Mohamad S. Hasan, shakilmohamad7@gmail.com

prob_rank_givenEffect

# vector of effect sizes
covariateEffectVec <- c(1, 1.5, 2)

# compute ranks probability matrix
ranksProb_byEffect <- sapply(1:length(covariateEffectVec), ranksProb_byEffect,
             null = .9, m = 100, covariateEffectVec = covariateEffectVec)