get_var_y: Get expected variance/sd/ci of dependent variable based on...

In PKPDsim: Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations

Get expected variance/sd/ci of dependent variable based on PKPDsim model, parameters, and regimen

Description

Get expected variance/sd/ci of dependent variable based on PKPDsim model, parameters, and regimen

Usage

get_var_y(
  model = NULL,
  parameters = list(),
  regimen = list(),
  t_obs = c(1:48),
  obs_comp = NULL,
  obs_variable = NULL,
  omega = c(0.1, 0.05, 0.1),
  omega_full = NULL,
  n_ind = NULL,
  ruv = NULL,
  y = NULL,
  rel_delta = 1e-04,
  method = "delta",
  sequence = NULL,
  auc = FALSE,
  sd = TRUE,
  q = NULL,
  in_parallel = FALSE,
  n_cores = 3,
  return_all = FALSE,
  ...
)

Arguments

model	model, created using 'PKPDsim::new_ode_model()'
parameters	parameters list
regimen	regimen, as created using 'PKPDsim::new_regimen()'
t_obs	vector of observation times
obs_comp	observation compartment. If NULL will be "obs" (default)
obs_variable	observation variable. If NULL, will be ignored, otherwise will override 'obs_comp'.
omega	triangle omega block
omega_full	full omega block
n_ind	number of individuals to simulate with sim method
ruv	residual variability, supplied as a named list, ex: 'list(prop = 0, add = 0, exp = 0)'
y	vector of observations. If NULL, then a new simulation will be performed.
rel_delta	rel_delta
method	method, 'delta' or 'sim'
sequence	for simulations, if not NULL the pseudo-random sequence to use, e.g. "halton" or "sobol". See 'mvrnorm2' for more details.
auc	is AUC?
sd	return as standard deviation ('TRUE') or variance ('FALSE')
q	return vector of quantiles instead of sd/var. Will return parametric quantiles when delta-method is used, non-parametric for simulation-based methods.
in_parallel	run simulations in parallel?
n_cores	if run in parallel, on how many cores?
return_all	return object with all relevant information?
...	passed on to 'sim_ode()'

Value

Vector of standard deviations or variances (or quantiles thereof) for dependent value variable

PKPDsim documentation built on March 7, 2023, 5:40 p.m.