y_gen: Outcome generation

In koohyun-kwon/HTEBandSim: What the Package Does (One Line, Title Case)

Description

Outcome generation

Usage

y_gen(
  n.sim,
  reg.name = c("AK", "AK.bin"),
  reg.spec,
  M,
  x,
  cvar.spec,
  dist,
  scale
)

Arguments

n.sim	number of simulation to use.
reg.name	class of regression functions to be used; "AK" denotes regression functions in Section 5 of Armstrong and Kolesár (2020); "AK.bin" denotes denotes the case where y = 1(f(x) + u > 0), using regression functions in Section 5 of Armstrong and Kolesár (2020), where u is a normal random variable.
reg.spec	a number denoting the type of regression function among the class of functions chosen in reg.name.
M	bound on the second derivative
x	a vector of regressors
cvar.spec	specification for conditional variance function, one of c("homo", "het.AK").
dist	distribution for noise function; choose among normal ("norm"), log-normal distribution ("lnorm") or logistic ("logis").
scale	scale parameter, a positive constant multiplied to the noise.

Value

matrix of outcome variables with nrow = length(x) and ncol = n.sim.

Examples

x <- seq(-1, 1, length.out = 50)
y_gen(70, "AK", 3, 1, x, "het.AK", "lnorm", 1/2)
y_gen(70, "AK.bin", 2, 1, x, "het.AK", "norm", 1/2)

koohyun-kwon/HTEBandSim documentation built on Dec. 21, 2021, 7:43 a.m.