ev: Event objects for simulating PK and other interventions

evR Documentation

Event objects for simulating PK and other interventions

Description

An event object specifies dosing or other interventions that get implemented during simulation. Event objects do similar things as data_set, but simpler and quicker.

Usage

ev(x, ...)

## S4 method for signature 'mrgmod'
ev(x, object = NULL, ...)

## S4 method for signature 'missing'
ev(
  time = 0,
  amt = 0,
  evid = 1,
  cmt = 1,
  ID = numeric(0),
  replicate = TRUE,
  until = NULL,
  tinf = NULL,
  realize_addl = FALSE,
  ...
)

## S4 method for signature 'ev'
ev(x, realize_addl = FALSE, ...)

Arguments

x

a model object

...

other items to be incorporated into the event object; see details

object

passed to show

time

event time

amt

dose amount

evid

event ID

cmt

compartment

ID

subject ID

replicate

logical; if TRUE, events will be replicated for each individual in ID

until

the expected maximum observation time for this regimen

tinf

infusion time; if greater than zero, then the rate item will be derived as amt/tinf

realize_addl

if FALSE (default), no change to addl doses. If TRUE, addl doses are made explicit with realize_addl

Details

  • Required items in events objects include time, amt, evid and cmt.

  • If not supplied, evid is assumed to be 1.

  • If not supplied, cmt is assumed to be 1.

  • If not supplied, time is assumed to be 0.

  • If amt is not supplied, an error will be generated.

  • If total is supplied, then addl will be set to total - 1.

  • Other items can include ii, ss, and addl (see data_set for details on all of these items).

  • ID may be specified as a vector.

  • If replicate is TRUE (default), then the events regimen is replicated for each ID; otherwise, the number of event rows must match the number of IDs entered

Value

events object

See Also

evd, ev_rep, ev_days, ev_repeat, ev_assign, ev_seq, mutate.ev, as.ev, ev_methods

Examples

mod <- mrgsolve::house()

mod <- mod %>% ev(amt = 1000, time = 0, cmt = 1)

loading <- ev(time = 0, cmt = 1, amt = 1000)

maint <- ev(time = 12, cmt = 1, amt = 500, ii = 12, addl = 10)

c(loading, maint)

reduced_load <- dplyr::mutate(loading, amt = 750)


mrgsolve documentation built on Aug. 16, 2023, 5:07 p.m.

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