sim_setup: Sets up necessary parameters for power calculation simulation

In carolynlou/pstestr: Performs power analysis for the projected score test

Description

Support function for pstest(), which runs the power calculations that are wrapped in pst_sim(). Sets up objects needed to do power calculation.

Usage

sim_setup(nsim = 500, seed = 2019, n = 100, p = 1000,
  model = "normal", sigma = 1, rho = 0.9, rs = c(10, 20, 50))

Arguments

nsim	defaults to 500
seed	set a seed for the generation of matrices needed for the various tests, defaults to 2019
n	defaults to 100
p	defaults to 1000
model	can be specified as 'normal' (default) for linear regression, otherwise does logistic regression
sigma	defaults to 1
rho	spatial correlation in G parameter, AR1 structure, defaults to 0.9
rs	investigator-specified set of "contrasts" of G, defaults to c(10, 20, 50)

Value

A list including spatial correlation parameters, empty dataframes for simresults and powresults, parameters for distribution of SKAT statistic

carolynlou/pstestr documentation built on June 3, 2019, 6:21 p.m.