generate_discontinuous_data: Simulate nonsmooth data

In denisagniel/longsurr: Longitudinal surrogate marker analysis

Description

Simulate nonsmooth data

Usage

generate_discontinuous_data(n, n_i, k, s_y = 1, s_x = 1, delta_s,
  nt = 101)

Arguments

n	sample size
n_i	number of observations per individual
k	tuning parameter which controls the distribution of the parameters that determine the surrogate value
s_y	error standard deviation for the outcome
s_x	error standard deviation for the surrogate
delta_s	residual treatment effect, the parameter of interest
nt	number of possible observation times for the longitudinal surrogate

denisagniel/longsurr documentation built on March 1, 2020, 3:35 a.m.