knobs: Run sensitivity analysis on model settings

In mrgsolve: Simulate from ODE-Based Models

Run sensitivity analysis on model settings

Description

Knobs can be parameter values or PK dosing items (e.g. amt). By design, all combinations of specified knob/values are simulated.

Usage

knobs(x, y, ...)

## S4 method for signature 'mrgmod,missing'
knobs(x, y, ...)

## S4 method for signature 'mrgmod,batch_mrgsims'
knobs(x, y, ...)

## S4 method for signature 'batch_mrgsims'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

## S4 method for signature 'batch_mrgsims,ANY'
knobs(x, y, ...)

## S4 method for signature 'batch_mrgsims'
show(object)

Arguments

x	the model object
y	a batch_mrgsims object
...	knobs: named numeric vectors that identify knob names and knob values for a batch run. See details.
row.names	passed to as.data.frame.data.frame
optional	passed to as.data.frame.data.frame
object	the object to show

Details

Valid knob names include: any parameter name (in param(mod)), time variables (start, end, delta), PK dosing items (amt, ii, rate, and others ...), and solver settings (atol, hmax, etc...).

Value

An object of class batch_mrgsims. Most methods for mrgsims objects also work on batch_mrgsims object.

Examples

## example("knobs")

mod <- mrgsolve::house(end=72)

events <- ev(amt=1000, cmt=1, addl=3, ii=12)

out <- mod %>% ev(events) %>% knobs(CL=c(1,2,3))
plot(out)

out

out <- mod %>% ev(events) %>% knobs(CL=c(1,2,3), VC=c(5,20,50))
plot(out)
plot(out,CP~.)
plot(out, CP~time|VC, groups=CL, lty=2)

out <- knobs(mod, amt=c(100,300,500), cmt=1)
plot(out)

out <- mod %>% knobs(amt=c(100,300), CL=c(1,3), VC=c(5,20), cmt=1)
plot(out)
plot(out, CP~.)

out <- knobs(mod, CL=c(1,2,3))
out

out <- knobs(mod, CL=c(1,2,3))
out

mrgsolve documentation built on Oct. 18, 2024, 5:12 p.m.