simulate_long_egfr: Simulate longitudinal eGFR data

In ellessenne/SCREAM: Utility Functions for Data Analysis in SCREAM

Description

Simulate longitudinal eGFR data

Usage

simulate_long_egfr(
  n,
  id = "lopnr",
  fixed_intercept = 100,
  fixed_slope = -1,
  B = matrix(data = c(100, 10, 10, 5), nrow = 2, ncol = 2),
  sigma = 10,
  lambda = 1,
  size = 1,
  prob = 0.1,
  origin = NULL
)

Arguments

n	Number of observations.
id	Name of the ID variable that will be used throughout.
fixed_intercept	Fixed intercept.
fixed_slope	Fixed slope.
B	Variance-covariance matrix of the random effects.
sigma	Standard deviation of the residual error term.
lambda	Parameter lambda of the baseline hazard for the exponential survival model.
size	Parameter 'size' for the negative binomial distribution; see stats::dnbinom().
prob	Parameter 'prob' for the negative binomial distribution; see stats::dnbinom().
origin	If origin = NULL (the default), observation times are relative to a time zero. Otherwise, if a date is passed to origin, all dates are re-calculated relative to it.

Value

A data frame with simulate data for n subjects.

Examples

set.seed(42)
df <- simulate_long_egfr(n = 3)
df

set.seed(42)
df <- simulate_long_egfr(n = 3, origin = as.Date("2006-01-01"))
df

ellessenne/SCREAM documentation built on Dec. 20, 2021, 4:19 a.m.