cause_grid_approx: CAUSE with grid approximation and fixed rho

Description Usage Arguments

View source: R/cause_grid_approx.R

Description

CAUSE with grid approximation and fixed rho

Usage

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cause_grid_approx(dat, seed, mix_grid, rho, brange = c(-1, 1),
  nb = 100, nq = 100, z_prior_func = function(z) {     dnorm(z, 0,
  0.5, log = TRUE) }, b_prior_func = function(b) {     dnorm(b, 0, 0.6,
  log = TRUE) }, q_prior_func = function(q) {     dbeta(q, 0.1, 1, log =
  TRUE) }, waic_samps = 1000, models = 2:3)

Arguments

dat

Data (data.frame)

seed

Seed. Optional.

mix_grid

Grid of mixture parameters. Will be estimated if not provided.

rho

rho

z_prior_func

optional. Unneccessary if you provide rho. Defaults to N(0, 0.5).

b_prior_func

prior function for b. Defaults to N(0, 0.6)

q_prior_func

prior function for q. Defaults to Beta(0.1, 1)

waic_samps

Number of samples for calculating waic

models

Which models to run. 2=causal, 3=shared. Some subset of c(2,3).

bvals

Grid of values for b

qvals

Grid of values for q


jean997/sherlockAsh documentation built on Oct. 6, 2018, 3:14 p.m.