eta_gamma_prior: Prior variance for gamma and eta
In jean997/cause: CAUSE: Causal Analysis Using Summary Effect Estimates

Description Usage Arguments Details Value

Choose prior variance for eta and gamma based on the data

1	eta_gamma_prior(X, variants, prob = 0.05, pval_thresh = 0.001)

`X`	An object of class cause_data containing data for the two traits.
`variants`	A vector of variants to include in the analysis.
`prob`	See Details
`pval_thresh`	A p-value threshold applied to trait 1 (M). This prevents

The function will return a variance, sigma, such that P(abs(z) > k) = prob where z is a N(0, sigma) random variable, k = max(abs(beta_hat_2/beta_hat_1)) and prob is specified in the arguments of the function.

A prior variance for gamma and eta (scalar)

jean997/cause documentation built on Dec. 25, 2021, 10 p.m.