This briefly describes the syntax used to define models that
RxODE
will translate into R-callable compiled code. It also
describes the communication of variables between R
and the
RxODE
modeling specification.
Below is a commented example to quickly show the capabilities of
RxODE
syntax.
# An RxODE model specification (this line is a comment).
if(comed==0){ # concomitant medication (con-med)?
F = 1.0; # full bioavailability w.o. con-med
}
else {
F = 0.80; # 20% reduced bioavailability
}
C2 = centr/V2; # concentration in the central compartment
C3 = peri/V3; # concentration in the peripheral compartment
# ODE describing the PK and PD
d/dt(depot) = -KA*depot;
d/dt(centr) = F*KA*depot - CL*C2 - Q*C2 + Q*C3;
d/dt(peri) = Q*C2 - Q*C3;
d/dt(eff) = Kin - Kout*(1-C2/(EC50+C2))*eff;
An RxODE
model specification consists of one or more
statements optionally terminated by semi-colons ;
and
optional comments (comments are delimited by #
and an
end-of-line).
A block of statements is a set of statements delimited by curly
braces, { ... }
.
Statements can be either assignments, conditional
if
/else if
/else
,
while
loops (can be exited by break
), special
statements, or printing statements (for debugging/testing)
Assignment statements can be:
simple assignments, where the left hand is an identifier (i.e., variable)
special time-derivative assignments, where the
left hand specifies the change of the amount in the corresponding state
variable (compartment) with respect to time e.g.,
d/dt(depot)
:
special initial-condition assignments where the
left hand specifies the compartment of the initial condition being
specified, e.g. depot(0) = 0
special model event changes including
bioavailability (f(depot)=1
), lag
time (alag(depot)=0
), modeled
rate (rate(depot)=2
) and modeled
duration (dur(depot)=2
). An example of these model
features and the event specification for the modeled infusions the RxODE
data specification is found in RxODE
events vignette.
special change point syntax, or model times.
These model times are specified by mtime(var)=time
special Jacobian-derivative assignments, where
the left hand specifies the change in the compartment ode with respect
to a variable. For example, if d/dt(y) = dy
, then a
Jacobian for this compartment can be specified as
df(y)/dy(dy) = 1
. There may be some advantage to obtaining
the solution or specifying the Jacobian for very stiff ODE systems.
However, for the few stiff systems we tried with LSODA, this actually
slightly slowed down the solving.
Note that assignment can be done by =
,
<-
or ~
.
When assigning with the ~
operator, the simple
assignments and time-derivative assignments
will not be output.
Special statements can be:
Compartment declaration statements, which can
change the default dosing compartment and the assumed compartment
number(s) as well as add extra compartment names at the end (useful for
multiple-endpoint nlmixr models); These are specified by
cmt(compartmentName)
Parameter declaration statements, which can make
sure the input parameters are in a certain order instead of ordering the
parameters by the order they are parsed. This is useful for keeping the
parameter order the same when using 2 different ODE models. These are
specified by param(par1, par2,...)
An example model is shown below:
# simple assignment
C2 = centr/V2;
# time-derivative assignment
d/dt(centr) = F*KA*depot - CL*C2 - Q*C2 + Q*C3;
Expressions in assignment and if
statements can be
numeric or logical, however, no character nor integer expressions are
currently supported.
Numeric expressions can include the following numeric operators
+, -, *, /, ^
and those mathematical functions defined in
the C or the R math libraries (e.g., fabs
,
exp
, log
, sin
,
abs
).
You may also access the R’s functions in the R
math libraries, like lgammafn
for the log gamma
function.
The RxODE
syntax is case-sensitive, i.e.,
ABC
is different than abc
, Abc
,
ABc
, etc.
Like R, Identifiers (variable names) may consist of one or more
alphanumeric, underscore _
or period .
characters, but the first character cannot be a digit or underscore
_
.
Identifiers in a model specification can refer to:
t
(time), tlast
(last time point), and podo
(oral dose, in the undocumented
case of absorption transit models).pi
or R’s
predefined constants.ka
rate of absorption,
CL
clearance, etc.)Currently, the RxODE
modeling language only recognizes
system state variables and “parameters”, thus, any values that need to
be passed from R to the ODE model (e.g., age
) should be
either passed in the params
argument of the integrator
function rxSolve()
or be in the supplied event
data-set.
There are certain variable names that are in the RxODE
event tables. To avoid confusion, the following event table-related
items cannot be assigned, or used as a state but can be accessed in the
RxODE code:
cmt
dvid
addl
ss
rate
id
However the following variables are cannot be used in a model specification:
evid
ii
Sometimes RxODE generates variables that are fed back to RxODE.
Similarly, nlmixr generates some variables that are used in nlmixr
estimation and simulation. These variables start with the either the
rx
or nlmixr
prefixes. To avoid any problems,
it is suggested to not use these variables starting with either the
rx
or nlmixr
prefixes.
Logical operators support the standard R operators ==
,
!=
>=
<=
>
and <
. Like R these can be in if()
or
while()
statements, ifelse()
expressions.
Additionally they can be in a standard assignment. For instance, the
following is valid:
cov1 = covm*(sexf == "female") + covm*(sexf != "female")
Notice that you can also use character expressions in comparisons.
This convenience comes at a cost since character comparisons are slower
than numeric expressions. Unlike R, as.numeric
or
as.integer
for these logical statements is not only not
needed, but will cause an syntax error if you try to use the
function.
Users specify which variables are the dynamic system’s state
variables via the d/dt(identifier)
operator as part of the
model specification, and which are model parameters via the
params=
argument in RxODE
solve()
method:
m1 <- RxODE(model = ode, modName = "m1")
# model parameters -- a named vector is required
theta <-
c(KA=0.29, CL=18.6, V2=40.2, Q=10.5, V3=297, Kin=1, Kout=1, EC50=200)
# state variables and their amounts at time 0 (the use of names is
# encouraged, but not required)
inits <- c(depot=0, centr=0, peri=0, eff=1)
# qd1 is an eventTable specification with a set of dosing and sampling
# records (code not shown here)
solve(theta, event = qd1, inits = inits)
The values of these variables at pre-specified time points are saved
during model fitting/integration and returned as part of the fitted
values (see the function eventTable
, in particular its
member function add.sampling
function to define a set of
time points when to capture the values of these variables) and returned
as part of the modeling output.
The ODE specification mini-language is parsed with the help of the open source tool DParser, Plevyak (2015).
All the supported functions in RxODE can be seen with the
rxSupportedFuns()
.
A brief description of the built-in functions are in the following table:
#> RxODE 1.1.5 using 4 threads (see ?getRxThreads)
#> no cache: create with `rxCreateCache()`
Note that lag(cmt) =
is equivalent to
alag(cmt) =
and not the same as = lag(wt)
There are a few reserved keywords in a RxODE model. They are in the following table:
%%
is currently unsupported.The ODE specification mini-language is parsed with the help of the open source tool , Plevyak (2015).