`mrgsolve`

is an `R`

package for simulation from hierarchical, ordinary differential equation (ODE) based models typically employed in drug development.

`mrgsolve`

is free, open-source software

`mrgsolve`

is distributed as a package for `R`

and utilizes an ODE-solver from `ODEPACK`

which is freely-available in the public domain. We develop `mrgsolve`

on github, with input and contributions from the pharmacometrics modeling and simulation community. We welcome feature requests and bug reports on the GitHub site issue tracker.

## Documentation

- User Guide: In-depth description and discussion about how
`mrgsolve`

works, including code block reference - R documentation: All
`mrgsolve`

documentation that you would find in the`R`

help system - Quick hit demos: Features that you might have a hard time finding in other documentation

## Links and Resources

- GitHub Page: Browse source code, find useful examples, get help installing, report issues
`mrgsolve`

home on CRAN- Site navagation: A listing of all tagged content on this site, including blog posts and other help / demonstration content
- Metrum Research Group: Our main website

## An example

The following is a simple example to illustrate the basics of how `mrgsolve`

works. You can find more examples and usage vignettes in the links above or in the “Help Topics” menu in the nav bar at the top of the mrgsolve.github.io main page.

`library(mrgsolve)`

First, a model object is created. As an introduction, we will use a pre-coded model from an internal library.

`mod <- mread("irm1", modlib())`

An overview about this model

`mod`

```
.
.
. -------- mrgsolve model object (unix) --------
. Project: /Users/kyleb/Rlibs/mrgsolve/models
. source: irm1.cpp
. shared object: irm1-so-4fdea3bc3f0
.
. compile date:
. Time: start: 0 end: 24 delta: 1
. > add: <none>
. > tscale: 1
.
. Compartments: EV1 CENT PERIPH RESP EV2 [5]
. Parameters: CL VC Q VP KA1 KA2
. > KIN KOUT IC50 IMAX n VMAX
. > KM [13]
. Omega: 0x0
. Sigma: 0x0
.
. Solver: atol: 1e-08 rtol: 1e-08
. > maxsteps: 2000 hmin: 0 hmax: 0
```

Next, let’s create an intervention for the model. We do this with an event object.

`e <- ev(amt=100, ii=24, addl=3)`

Now, we simulate with our model object (`mod`

) and the event object (`e`

)

```
out <- mod %>% ev(e) %>% mrgsim(end=240,delta=0.1)
out
```

```
. Model: irm1.cpp
. Dim: 2402 x 8
. Time: 0 to 240
. ID: 1
. ID time EV1 CENT PERIPH RESP EV2 CP
. [1,] 1 0.0 0.00 0.000 0.00000 5.000 0 0.0000
. [2,] 1 0.0 100.00 0.000 0.00000 5.000 0 0.0000
. [3,] 1 0.1 90.48 9.444 0.04781 4.903 0 0.4722
. [4,] 1 0.2 81.87 17.851 0.18294 4.688 0 0.8926
. [5,] 1 0.3 74.08 25.323 0.39390 4.426 0 1.2662
. [6,] 1 0.4 67.03 31.953 0.67040 4.151 0 1.5977
. [7,] 1 0.5 60.65 37.824 1.00324 3.882 0 1.8912
. [8,] 1 0.6 54.88 43.013 1.38417 3.628 0 2.1507
```

And plot

`plot(out) `

The source code for this model:

```
$PROB
# Model: `irm1`
- Indirect response model, type 1
- Inhibition of response input
- Two-compartment PK model
- Optional nonlinear clearance
- Source: `mrgsolve` internal library
- Date: `r Sys.Date()`
- Version: `r packageVersion("mrgsolve")`
$PARAM @annotated
CL : 1 : Clearance (volume/time)
VC : 20 : Central volume (volume)
Q : 2 : Inter-compartmental clearance (volume/time)
VP : 10 : Peripheral volume of distribution (volume)
KA1 : 1 : Absorption rate constant 1 (1/time)
KA2 : 1 : Absorption rate constant 2 (1/time)
KIN : 10 : Response in rate constant (1/time)
KOUT : 2 : Response out rate constant (1/time)
IC50 : 2 : Concentration for 50% of max inhibition (mass/volume)
IMAX : 1 : Maximum inhibition
n : 1 : Emax model sigmoidicity
VMAX : 0 : Maximum reaction velocity (mass/time)
KM : 2 : Michaelis constant (mass/volume)
$CMT @annotated
EV1 : First extravascular compartment (mass)
CENT : Central compartment (mass)
PERIPH : Peripheral compartment (mass)
RESP : Response compartment
EV2 : Second extravascular compartment (mass)
$GLOBAL
#define CP (CENT/VC)
#define CT (PERIPH/VP)
#define CLNL (VMAX/(KM+CP))
#define INH (IMAX*pow(CP,n)/(pow(IC50,n)+pow(CP,n)))
$MAIN
RESP_0 = KIN/KOUT;
$ODE
dxdt_EV1 = -KA1*EV1;
dxdt_EV2 = -KA2*EV2;
dxdt_CENT = KA1*EV1 + KA2*EV2 - (CL+CLNL+Q)*CP + Q*CT;
dxdt_PERIPH = Q*CP - Q*CT;
dxdt_RESP = KIN*(1-INH) - KOUT*RESP;
$CAPTURE @annotated
CP : Plasma concentration (mass/volume)
```