generate_weak_dataset: Generate Weak Dataset

In apeterson91/STAPDPSimulations: Runs Simulations for STAP-DP

Description

Generates clustered nonlinear spatial exposure effects in a linear model where distance distribution and count is correlated with the cluster function

Usage

generate_weak_dataset(
  n = 100,
  prop_cluster = c(0.5, 0.5),
  cluster_functions = list(fun_one = function(x) pweibull(x, shape = 6, scale = 0.5,
    lower.tail = FALSE), fun_two = function(x) 0),
  num_distances = list(Rural = 15, Urban = 15),
  rdist_generator = list(Rural = function(x) rbeta(x, 1, 1), Urban = function(x)
    rbeta(x, 1, 1)),
  prop_exposed = 0.95,
  Z = cbind(1, rbinom(n = n, 1, 0.5)),
  delta = c(26, -0.5),
  seed = NULL
)

Arguments

n	number of observations
prop_cluster	vector of cluster proportions
cluster_functions	list of length num_clusters
prop_exposed	proportion of observations with exposure to spatial features
Z	matrix of standard regression coefficients - assumes first column is an intercept
delta	vector of regression coefficients
seed	random number generator seed
mean_num_distances	mean number of simulated distances to include

apeterson91/STAPDPSimulations documentation built on Dec. 19, 2021, 3:43 a.m.