mrgsolve1.5.1 package

Simulate from ODE-Based Models

zero_re

Zero out random effects in a model object

house

Return a pre-compiled, PK/PD model

aboutsolver

About the lsoda differential equation solver used by mrgsolve

as_data_set

Create a simulation data set from ev objects or data frames

as_deslist

Create a list of designs from a data frame

as.ev

Coerce an object to class ev

as.list-mrgmod-method

Coerce a model object to list

as.list-mrgsims-method

Coerce an mrgsims object to list

modlib_tmdd

modlib: Target mediated disposition model

BLOCK_PARSE

Functions to parse code blocks

blocks

Return the code blocks from a model specification file

cama

Run the model cama function

carry_out

Select items to carry into simulated output

check_data_names

Check input data set names against model parameters

cmt_list-class

S4 cmt_list class

cmtn

Get the compartment number from a compartment name

code

Extract the code from a model

ev_assign

Replicate a list of events into a data set

collapse_matrices

Collapse OMEGA or SIGMA matrix lists

collapse_matrix

Collapse the matrices of a matlist object

cvec

Create create character vectors

data_set

Select and modify a data set for simulation

design

Set observation designs for the simulation

details

Extract model details

env_eval

Re-evaluate the code in the ENV block

env_get

Return model environment

env_ls

List objects in the model environment

env_update

Update objects in model environment

ev_days

Schedule dosing events on days of the week

ev_dplyr

dplyr verbs for event objects

ev_extract

Select columns from an ev object

ev_methods

Various methods for event objects

ev_ops

Operations for ev objects

ev_rep

Replicate an event object

ev_repeat

Repeat a block of dosing events

ev_rx

Create intervention objects from Rx input

expand.idata

Create template data sets for simulation

ev_seq

Schedule a series of event objects

ev-class

S4 events class

ev

Event objects for simulating PK and other interventions

evd

Create an event object with data-like names

exdatasets

Example input data sets

expand_observations

Insert observations into a data set

file_show

Show model specification and C++ files

idata_set

Select and modify a idata set for simulation

init

Methods for working with the model compartment list

inventory

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

is.mrgmod

Check if an object is a model object

is.mrgsims

Check if an object is mrgsim output

knobs

Run sensitivity analysis on model settings

lctran

Change the case of nmtran-like data items

loadso

Load the model shared object

lower2matrix

Create a square numeric matrix from the lower-triangular elements

matlist_ops

Operations with matlist objects

matlist-class

S4 class matlist

matlist

Methods for working with matrix-list objects

matrix_converters

Coerce R objects to block or diagonal matrices

matrix_helpers

Create matrices from vector input

mrgsim_q

Simulate from a model object with quicker turnaround

mcode

Write, compile, and load model code

mcRNG

Set RNG to use L'Ecuyer-CMRG

merge

Merge two lists

mod

Return the model object

modelparse

Parse model specification text

modlib_details

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

modlib_pk

modlib: Pharmacokinetic models

modlib_pkpd

modlib: Pharmacokinetic / pharmacodynamic models

reserved

Reserved words

revar

Get model random effect variances and covariances

modlib_viral

modlib: HCV viral dynamics models

modlib

Internal model library

modMATRIX

Create a matrix

mread_yaml

Read a model from yaml format

mread

Read a model specification file

mrgmod_extract

Select parameter values from a model object

mrgmod-class

S4 class for mrgsolve model object

mrgsim_variants

mrgsim variant functions

mrgsim

Simulate from a model object

mrgsims_dplyr

Methods for handling output with dplyr verbs

mrgsims_modify

Methods for modifying mrgsims objects

mrgsims-class

S4 class for mrgsolve simulation output

mrgsims

Methods for working with mrgsims objects

mrgsolve_package

mrgsolve: Simulate from ODE-Based Models

mvgauss

Simulate from a multivariate normal distribution with mean zero

mwrite_cpp

Write a model to native mrgsolve format

mwrite_yaml

Write model code to yaml format

names-mrgmod-method

Get all names from a model object

nmext

Import model estimates from a NONMEM ext file

nmxml

Import model estimates from a NONMEM xml file

numeric2diag

Create a diagonal numeric matrix from diagonal elements

numericlist-class

S4 class numeric list

scrape_and_call

Scrape options and pass to function

numericlist

Methods for numericlist

numerics_only

Prepare data.frame for input to mrgsim

obsaug

Augment observations in the simulated output

obsonly

Collect only observations in the simulated output

omega

Manipulate OMEGA matrices

outvars

Show names of current output variables

param_tags

Return parameter tags

scrape_opts

Scrape options from a code block

param

Create and work with parameter objects

parameter_list-class

S4 parameter_list class

PKMODEL

Parse PKMODEL BLOCK data

plot_batch_mrgsims

Plot method for mrgsims objects

plot_mrgsims

Generate a quick plot of simulated data

plot_sims

Plot data as an mrgsims object

see

Print model code to the console

show-cmt_list-method

Show the compartment list

show-mrgmod-method

Print model details

show-parameter_list-method

Show the parameter list

qsim

Basic, simple simulation from model object

read_nmext

Extract estimates from NONMEM ext file

realize_addl

Make addl doses explicit in an event object or data set

reexports

Objects exported from other packages

render

Render a model to a document

Req

Request simulated output

sigma

Manipulate SIGMA matrices

simargs

Access or clear arguments for calls to mrgsim

soloc

Return the location of the model shared object

solversettings

Optional inputs for lsoda

stime

Get the times at which the model will be evaluated

summary.mrgmod

Print summary of a mrgmod object

tgrid_ops

Operations with tgrid objects

within

Update parameters, initials, and settings within a model object

zchain

Forward pipe

tgrid

Create a simtime object

touch_funs

Get inits from compiled function

tscale

Re-scale time in the simulated output

update

Update the model object

valid_data_set

Validate and prepare data sets for simulation

valid_idata_set

Validate and prepare idata data sets for simulation

wf_sweep

Simulate a sequence of parameters

Fast simulation from ordinary differential equation (ODE) based models typically employed in quantitative pharmacology and systems biology.

  • Maintainer: Kyle T Baron
  • License: GPL (>= 2)
  • Last published: 2024-07-26