Simulate Longitudinal Data from a GSF Model

Usage

SimLongitudinalGSF(
  times = c(-100, -50, 0, 50, 100, 150, 250, 350, 450, 550)/365,
  sigma = 0.01,
  mu_s = log(c(0.6, 0.4)),
  mu_g = log(c(0.25, 0.35)),
  mu_b = log(60),
  mu_phi = qlogis(c(0.4, 0.6)),
  omega_b = 0.2,
  omega_s = 0.2,
  omega_g = 0.2,
  omega_phi = 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_s: (numeric)
the mean shrinkage rates.
mu_g: (numeric)
the mean growth rates.
mu_b: (numeric)
the mean baseline values.
mu_phi: (numeric)
the mean proportion of cells affected by the treatment
omega_b: (number)
the baseline value standard deviation.
omega_s: (number)
the shrinkage rate standard deviation.
omega_g: (number)
the growth rate standard deviation.
omega_phi: (number)
for the standard deviation of the proportion of cells affected by the treatment omega_phi.
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_s: (numeric)
See arguments.
mu_g: (numeric)
See arguments.
mu_b: (numeric)
See arguments.
mu_phi: (numeric)
See arguments.
omega_b: (numeric)
See arguments.
omega_s: (numeric)
See arguments.
omega_g: (numeric)
See arguments.
omega_phi: (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 GSF Model

Usage

Arguments

Slots

See also