Simulate Longitudinal Data from a Claret-Bruno Model
Source:R/SimLongitudinalClaretBruno.R
SimLongitudinalClaretBruno-class.Rd
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,
scaled_variance = TRUE
)
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.- scaled_variance
(
logical
)
whether the variance should be scaled by the expected value (see the "Statistical Specifications" vignette for more details)
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.scaled_variance
(
logical
)
See arguments.
See also
Other SimLongitudinal:
SimLongitudinal-class
,
SimLongitudinalGSF-class
,
SimLongitudinalRandomSlope-class
,
SimLongitudinalSteinFojo-class