generate_hpp_dataset: generates homogenous poisson process data
In apeterson91/STAPSimulations: Recreates Simulations in Peterson et al. manuscript

generates homogenous poisson process data

generate_hpp_dataset(seed, num_subj = 100L, num_dists = 30L,
  max_dist = 5L, bef_xlim = c(-1, 1), bef_ylim = c(-1, 1),
  subj_xlim = c(-1, 1), subj_ylim = c(-1, 1), alpha = 25,
  delta = -2.3, beta = 0.1, theta = 0.5, shape = NULL, sigma = 1,
  K = function(x) exp(-x))

`seed`	an integer for set.seed()
`num_subj`	number of subjects to simulate
`num_dists`	number of distances/subject to simulate
`max_dist`	upper bound on distances to include
`bef_xlim`	x coordinate bounds from which to simulate befs
`bef_ylim`	y coordinate bounds from which to simulate bef positions
`subj_xlim`	x coordinate bounds from which to simulate subject positions
`subj_ylim`	y coordinate bounds from which to simulate subject positions
`alpha`	true intercept value
`delta`	confounder effect
`beta`	true bef effect
`theta`	true spatial scale
`K`	exposure function