buildVar | R Documentation |
buildVar is designed to build the best variance model for the random effects by selecting which individual parameters vary and which ones are fixed.
buildVar(
project = NULL,
final.project = NULL,
prior = NULL,
weight = NULL,
cv.min = 0.001,
fix.param1 = NULL,
fix.param0 = NULL,
criterion = "BICc",
linearization = F,
remove = T,
add = T,
delta = c(30, 10, 5),
omega.set = NULL,
pop.set1 = NULL,
pop.set2 = NULL,
print = TRUE
)
project |
a string: the initial Monolix project |
final.project |
a string: the final Monolix project (default adds "_var" to the original project) |
prior |
named vector of prior probabilities (default=NULL) |
weight |
named vector of weights (default=NULL) |
cv.min |
value of the coefficient of variation below which an individual parameter is considered fixed (default=0.001) |
fix.param1 |
parameters with variability that cannot be removed (default=NULL) |
fix.param0 |
parameters without variability that cannot be added (default=NULL) |
criterion |
penalization criterion to optimize c("AIC", "BIC", "BICc", gamma) (default=BICc) |
linearization |
TRUE/FALSE whether the computation of the likelihood is based on a linearization of the model (default=FALSE) |
remove |
TRUE/FALSE try to remove random effects (default=TRUE) |
add |
TRUE/FALSE try to add random effects (default=TRUE) |
delta |
maximum difference in criteria for testing a new model (default=c(30,10,5)) |
omega.set |
settings to define how a variance varies during iterations of SAEM |
pop.set1 |
Monolix settings 1 |
pop.set2 |
Monolix settings 2 |
print |
TRUE/FALSE display the results (default=TRUE) |
Penalization criterion can be either a custom penalization of the form gamma*(number of parameters), AIC (gamma=2) or BIC (gamma=log(N)).
See https://monolix.lixoft.com/rsmlx/ for more details.
a new Monolix project with a new inter individual variability model.
## Not run:
# Build the variability model using the default settings
r1 <- buildVar(project="warfarinPK_project.mlxtran")
# Force parameter Tlag to be fixed (no variability) and parameter Cl to vary
r2 <- buildVar(project="warfarinPK_project.mlxtran", fix.param0="Tlag", fix.param1="Cl")
# Estimate the log-likelihood by linearization of the model (faster)
r3 <- buildVar(project="warfarinPK_project.mlxtran", linearization=T)
## End(Not run)
# See http://monolix.lixoft.com/rsmlx/buildvar/ for detailed examples of use of buildvar
# Download the demo examples here: http://monolix.lixoft.com/rsmlx/installation
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