Model block for rxode2/nlmixr models
Usage
# S3 method for `function`
model(
x,
...,
append = NULL,
auto = getOption("rxode2.autoVarPiping", TRUE),
cov = NULL,
envir = parent.frame()
)
# S3 method for rxUi
model(
x,
...,
append = NULL,
auto = getOption("rxode2.autoVarPiping", TRUE),
cov = NULL,
envir = parent.frame()
)
# S3 method for rxode2
model(
x,
...,
append = NULL,
auto = getOption("rxode2.autoVarPiping", TRUE),
cov = NULL,
envir = parent.frame()
)
# S3 method for rxModelVars
model(
x,
...,
append = NULL,
auto = getOption("rxode2.autoVarPiping", TRUE),
cov = NULL,
envir = parent.frame()
)
model(
x,
...,
append = FALSE,
auto = getOption("rxode2.autoVarPiping", TRUE),
cov = NULL,
envir = parent.frame()
)
# S3 method for default
model(x, ..., append = FALSE, cov = NULL, envir = parent.frame())
Arguments
- x
model expression
- ...
Other arguments
- append
This is a boolean to determine if the lines are appended in piping. The possible values for this is:
TRUE
which is when the lines are appended to the model instead of replacedFALSE
when the lines are replaced in the model (default)NA
is when the lines are pre-pended to the model instead of replacedlhs expression
, which will append the lines after the last observed line of the expressionlhs
- auto
This boolean tells if piping automatically selects the parameters should be characterized as a population parameter, between subject variability, or a covariate. When
TRUE
this automatic selection occurs. WhenFALSE
this automatic selection is turned off and everything is added as a covariate (which can be promoted to a parameter with theini
statement). By default this isTRUE
, but it can be changed byoptions(rxode2.autoVarPiping=FALSE)
.- cov
is a character vector of variables that should be assumed to be covariates. This will override automatic promotion to a population parameter estimate (or an eta)
- envir
the
environment
in which unevaluated model expressions is to be evaluated. May also beNULL
, a list, a data frame, a pairlist or an integer as specified tosys.call
.