Simulate Longitudinal Data from a Random Slope Model

Simulate Longitudinal Data from a Random Slope Model

Usage

SimLongitudinalRandomSlope(
  times = c(-100, -50, 0, 50, 100, 150, 250, 350, 450, 550),
  intercept = 50,
  slope_mu = c(0.01, 0.03),
  slope_sigma = 0.5,
  sigma = 2,
  link_dsld = 0,
  link_identity = 0
)

Arguments

times

(numeric)
the times to generate observations at.

intercept

(number)
the mean baseline value for each study.

slope_mu

(numeric)
the population slope for each treatment arm.

slope_sigma

(number)
the random slope standard deviation.

sigma

(number)
the variance of the longitudinal values.

link_dsld

(number)
the link coefficient for the DSLD contribution.

link_identity

(number)
the link coefficient for the identity contribution.

Slots

intercept

(numeric)
See arguments.

slope_mu

(numeric)
See arguments.

slope_sigma

(numeric)
See arguments.

sigma

(numeric)
See arguments.

link_dsld

(numeric)
See arguments.

link_identity

(numeric)
See arguments.

See also

Other SimLongitudinal: SimLongitudinal-class, SimLongitudinalClaretBruno-class, SimLongitudinalGSF-class, SimLongitudinalSteinFojo-class