est_cause_params: Estimate CAUSE Nuisance Parameters

In jean997/cause: CAUSE: Causal Analysis Using Summary Effect Estimates

Description

Estimates bivariate distribution of summary statistics and rho, the correlation between summary statistics due to overlapping samples or population structure.

Usage

est_cause_params(
  X,
  variants,
  optmethod = c("mixSQP", "mixIP"),
  null_wt = 10,
  n_iter = 20,
  max_candidates = Inf,
  control = list()
)

Arguments

X	An object of class cause_data containing data for the two traits.
variants	A vector of variants to include. This list should be approximately LD pruned and include variants genome wide.
max_candidates	Maximum number of variance candidates for each trait. Maximum size of grid is max_candidates^2
control	control parameters to be passed to ashr. Primarily for development use, most users can leave this unaltered.

Value

An object of class cause_params

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