mrgsolve1.5.2 package

Create intervention objects from Rx input

Coerce R objects to block or diagonal matrices

Create matrices from vector input

Write, compile, and load model code

Set RNG to use L'Ecuyer-CMRG

Merge two lists

Return the model object

Parse model specification text

modlib: PK/PD Model parameters, compartments, and output variables

modlib: Pharmacokinetic models

modlib: Pharmacokinetic / pharmacodynamic models

modlib: Target mediated disposition model

modlib: HCV viral dynamics models

Internal model library

Create a matrix

Scrape options from a code block

Print model code to the console

Show the compartment list

Print model details

Show the parameter list

Update parameters, initials, and settings within a model object

Forward pipe

Zero out random effects in a model object

Scrape options and pass to function

Repeat a block of dosing events

Check if an object is a model object

Check if an object is mrgsims output

Augment observations in the simulated output

Collect only observation records in the simulated output

Run the model cama function

Select and modify a data set for simulation

Various methods for event objects

Operations for ev objects

About the lsoda differential equation solver used by mrgsolve

Replicate an event object

Create a simulation data set from ev objects or data frames

Create a list of designs from a data frame

Coerce an object to class ev

Coerce a model object to list

Coerce an mrgsims object to list

Functions to parse code blocks

Return the code blocks from a model specification file

Select items to carry into simulated output

Check input data set names against model parameters

S4 cmt_list class

Get the compartment number from a compartment name

Extract the code from a model

Collapse OMEGA or SIGMA matrix lists

Collapse the matrices of a matlist object

Create create character vectors

Set observation designs for the simulation

Extract model details

Re-evaluate the code in the ENV block

Return model environment

List objects in the model environment

Update objects in model environment

Replicate a list of events into a data set

Schedule dosing events on days of the week

dplyr verbs for event objects

Select columns from an ev object

Schedule a series of event objects

S4 events class

Event objects for simulating PK and other interventions

Create an event object with data-like names

Example input data sets

Insert observations into a data set

Create template data sets for simulation

Show model specification and C++ files

Return a pre-compiled, PK/PD model

Select and modify a idata set for simulation

Methods for working with the model compartment list

Check whether all required parameters needed in a model are present in...

Run sensitivity analysis on model settings

Change the case of nmtran-like data items

Load the model shared object

Create a square numeric matrix from the lower-triangular elements

Operations with matlist objects

S4 class matlist

Methods for working with matrix-list objects

Plot method for mrgsims objects

Read a model from yaml format

Read a model specification file

Select parameter values from a model object

S4 class for mrgsolve model object

Simulate from a model object with quicker turnaround

mrgsim variant functions

Simulate from a model object

Request simulated output

Methods for handling output with dplyr verbs

Methods for modifying mrgsims objects

S4 class for mrgsolve simulation output

Methods for working with mrgsims objects

mrgsolve: Simulate from ODE-Based Models

Simulate from a multivariate normal distribution with mean zero

Write a model to native mrgsolve format

Reserved words

Write model code to yaml format

Get all names from a model object

Import model estimates from a NONMEM ext file

Import model estimates from a NONMEM xml file

Create a diagonal numeric matrix from diagonal elements

S4 class numeric list

Methods for numericlist

Prepare data.frame for input to mrgsim()

Manipulate OMEGA matrices

Show names of current output variables

Return parameter tags

Create and work with parameter objects

S4 parameter_list class

Parse PKMODEL BLOCK data

Generate a quick plot of simulated data

Plot data as an mrgsims object

Basic, simple simulation from model object

Extract estimates from NONMEM ext file

Make addl doses explicit in an event object or data set

Objects exported from other packages

Render a model to a document

Get model random effect variances and covariances

Manipulate SIGMA matrices

Access or clear arguments for calls to mrgsim()

Return the location of the model shared object

Optional inputs for lsoda

Get the times at which the model will be evaluated

Print summary of a mrgmod object

Operations with tgrid objects

Create a simtime object

Get inits from compiled function

Re-scale time in the simulated output

Update the model object

Validate and prepare data sets for simulation

Validate and prepare idata data sets for simulation

Simulate a sequence of parameters