Simulate Longitudinal Data from a Claret-Bruno Model

Usage

SimLongitudinalClaretBruno(
  times = c(-100, -50, 0, 50, 100, 150, 250, 350, 450, 550)/365,
  sigma = 0.01,
  mu_b = log(60),
  mu_g = log(c(0.9, 1.1)),
  mu_c = log(c(0.25, 0.35)),
  mu_p = log(c(1.5, 2)),
  omega_b = 0.2,
  omega_g = 0.2,
  omega_c = 0.2,
  omega_p = 0.2,
  link_dsld = 0,
  link_ttg = 0,
  link_identity = 0,
  link_growth = 0
)

Arguments

times: (numeric)
the times to generate observations at.
sigma: (number)
the variance of the longitudinal values.
mu_b: (numeric)
the mean population baseline sld value.
mu_g: (numeric)
the mean population growth rate.
mu_c: (numeric)
the mean population resistance rate.
mu_p: (numeric)
the mean population growth inhibition.
omega_b: (number)
the population standard deviation for the baseline sld value.
omega_g: (number)
the population standard deviation for the growth rate.
omega_c: (number)
the population standard deviation for the resistance rate.
omega_p: (number)
the population standard deviation for the growth inhibition.
link_dsld: (number)
the link coefficient for the derivative contribution.
link_ttg: (number)
the link coefficient for the time-to-growth contribution.
link_identity: (number)
the link coefficient for the SLD Identity contribution.
link_growth: (number)
the link coefficient for the growth parameter contribution.

Slots

sigma: (numeric)
See arguments.
mu_b: (numeric)
See arguments.
mu_g: (numeric)
See arguments.
mu_c: (numeric)
See arguments.
mu_p: (numeric)
See arguments.
omega_b: (numeric)
See arguments.
omega_g: (numeric)
See arguments.
omega_c: (numeric)
See arguments.
omega_p: (numeric)
See arguments.
link_dsld: (numeric)
See arguments.
link_ttg: (numeric)
See arguments.
link_identity: (numeric)
See arguments.
link_growth: (numeric)
See arguments.

Simulate Longitudinal Data from a Claret-Bruno Model

Usage

Arguments

Slots

See also