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Creating/Deleting/Loading rxode2 compiled objects

rxClean()
Cleanup anonymous DLLs by unloading them
rxCompile()
Compile a model if needed
rxCreateCache()
This will create the cache directory for rxode2 to save between sessions
rxDelete()
Delete the DLL for the model
rxUnloadAll()
Unloads all rxode2 compiled DLLs
rxode2() RxODE() rxode()
Create an ODE-based model specification

Creating rxode2 event tables/data frames

et()
Event Table Function
toTrialDuration()
Convert event data to trial duration data A helper function to create a custom event table. The observation time will start from the first event time (baseline) and end at trial duration. The interval is the spacing between each observation.
etRbind() rbind(<rxEt>)
Combining event tables
etRep() rep(<rxEt>)
Repeat an rxode2 event table
etSeq() seq(<rxEt>)
Sequence of event tables
etExpand()
Expand additional doses
as.et()
Coerce object to data.frame
eventTable()
Create an event table object
add.dosing()
Add dosing to eventTable
add.sampling()
Add sampling to eventTable

Solving, Simulating and Solving options

Functions for working with nlmixr2/rxode2 functions

as.ini()
Turn into an ini block for initialization
as.model()
Turn into a model expression
as.rxUi()
As rxode2 ui
assertCompartmentExists() testCompartmentExists()
Verify that the compartment exists in a model
assertCompartmentName() assertVariableName() assertParameterValue() assertExists() testExists()
Verify that a value is a valid nlmixr2 compartment name
assertCompartmentNew()
Verify that a compartment would be new to the model
assertRxUi() assertRxUiPrediction() assertRxUiSingleEndpoint() assertRxUiTransformNormal() assertRxUiNormal() assertRxUiMuRefOnly() assertRxUiEstimatedResiduals() assertRxUiPopulationOnly() assertRxUiMixedOnly() assertRxUiRandomOnIdOnly()
Assert properties of the rxUi models
assertVariableExists() testVariableExists()
Assert a variable exists in the model
assertVariableNew()
Assert a variable would be new to the model
ini()
Ini block for rxode2/nlmixr models
`ini<-`()
Assign the ini block in the rxode2 related object
model()
Model block for rxode2/nlmixr models
`model<-`()
Assign the model block in the rxode2 related object
modelExtract()
Extract model lines from a rxui model
rxAppendModel()
Append two rxui models together
rxFixPop()
Apply the fixed population estimated parameters
rxRename() .rxRename() rename.rxUi() rename.function()
Rename items inside of a rxode2 ui model
rxSetCovariateNamesForPiping()
Assign covariates for piping
rxSetPipingAuto()
Set the variables for the model piping automatic covarite selection
rxUiDecompress() rxUiCompress()
Compress/Decompress rxode2 ui
`rxode2<-`() `rxode<-`() `RxODE<-`()
Set the function body of an rxUi object while retaining other object information (like data)
testIniDf() assertIniDf()
This function tests if this object is a iniDf as needed by the UI
testRxLinCmt() assertRxLinCmt()
Test if rxode2 uses linear solved systems
testRxUnbounded() assertRxUnbounded() warnRxBounded()
Test if the rxode2 model has any parameters with user defined boundaries
update(<rxUi>)
Update for rxUi
zeroRe()
Set random effects and residual error to zero

ggplot2/plot support functions

stat_cens() geom_cens()
Censoring geom/stat
stat_amt() geom_amt()
Dosing/Amt geom/stat
plot(<rxSolve>) plot(<rxSolveConfint1>) plot(<rxSolveConfint2>)
Plot rxode2 objects

Exploring rxode2 and creating models with Shiny

rxShiny()
Use Shiny to help develop an rxode2 model
genShinyApp.template() write.template.server() write.template.ui()
Generate an example (template) of a dosing regimen shiny app

Using rxode2 in Packages

rxUse()
Use model object in your package
rxPkg()
Creates a package from compiled rxode2 models

Specialized Simulation functions

binomProbs()
Calculate expected confidence bands with binomial sampling distribution
cvPost()
Sample a covariance Matrix from the Posterior Inverse Wishart distribution.
dfWishart()
This uses simulations to match the rse
meanProbs()
Calculate expected confidence bands or prediction intreval with normal or t sampling distribution
rinvchisq()
Scaled Inverse Chi Squared distribution
rxGetSeed()
Get the rxode2 seed
rxPp()
Simulate a from a Poisson process
rxSetSeed()
Set the parallel seed for rxode2 random number generation
rxSimThetaOmega()
Simulate Parameters from a Theta/Omega specification
rxWithSeed() rxWithPreserveSeed()
Preserved seed and possibly set the seed
rxbeta()
Simulate beta variable from threefry generator
rxbinom()
Simulate Binomial variable from threefry generator
rxcauchy()
Simulate Cauchy variable from threefry generator
rxchisq()
Simulate chi-squared variable from threefry generator
rxexp()
Simulate exponential variable from threefry generator
rxf()
Simulate F variable from threefry generator
rxgamma()
Simulate gamma variable from threefry generator
rxgeom()
Simulate geometric variable from threefry generator
rxnbinom() rxnbinomMu()
Simulate Binomial variable from threefry generator
rxnormV() rxnorm()
Simulate random normal variable from threefry generator
rxord()
Simulate ordinal value
rxpois()
Simulate random Poisson variable from threefry generator
rxt()
Simulate student t variable from threefry generator
rxunif()
Simulate uniform variable from threefry generator
rxweibull()
Simulate Weibull variable from threefry generator

Optimizing models and/or adding precision

rxOptExpr()
Optimize rxode2 for computer evaluation
rxSumProdModel()
Recast model in terms of sum/prod
rxSetProd()
Defunct setting of product
rxSetSum()
Defunct setting of sum

Adding/Modifying rxode2 C-based functions and derivatives

rxD()
Add to rxode2's derivative tables

Running unit tests in rxode2

rxValidate() rxTest()
Validate rxode2 This allows easy validation/qualification of nlmixr by running the testing suite on your system.

Special Functions for rxode2

boxCox() boxCoxInv() yeoJohnson() yeoJohnsonInv()
boxCox/yeoJohnson and inverse boxCox/yeoJohnson functions
erf()
Error function
forderForceBase()
Force using base order for rxode2 radix sorting
gammap()
Gammap: normalized lower incomplete gamma function
gammapDer()
gammapDer: derivative of gammap
gammapInv() gammapInva()
gammapInv and gammapInva: Inverses of normalized gammap function
gammaq()
Gammaq: normalized upper incomplete gamma function
gammaqInv() gammaqInva()
gammaqInv and gammaqInva: Inverses of normalized gammaq function
logit() expit() logitNormInfo() probitNormInfo()
logit and inverse logit (expit) functions
lowergamma()
lowergamma: upper incomplete gamma function
phi()
Cumulative distribution of standard normal
probit() probitInv()
probit and inverse probit functions
rxRmvn()
Simulate from a (truncated) multivariate normal

log likelihood functions supporting generalized likelihoods for focei methods

llikBeta()
Calculate the log likelihood of the binomial function (and its derivatives)
llikBinom()
Calculate the log likelihood of the binomial function (and its derivatives)
llikCauchy()
log likelihood of Cauchy distribution and it's derivatives (from stan)
llikChisq()
log likelihood and derivatives for chi-squared distribution
llikExp()
log likelihood and derivatives for exponential distribution
llikF()
log likelihood and derivatives for F distribution
llikGamma()
log likelihood and derivatives for Gamma distribution
llikGeom()
log likelihood and derivatives for Geom distribution
llikNbinom()
Calculate the log likelihood of the negative binomial function (and its derivatives)
llikNbinomMu()
Calculate the log likelihood of the negative binomial function (and its derivatives)
llikNorm()
Log likelihood for normal distribution
llikPois()
log-likelihood for the Poisson distribution
llikT()
Log likelihood of T and it's derivatives (from stan)
llikUnif()
log likelihood and derivatives for Unif distribution
llikWeibull()
log likelihood and derivatives for Weibull distribution

Parallel processing support commands

getRxThreads() setRxThreads() rxCores()
Get/Set the number of threads that rxode2 uses

rxode2 utility functions

rxDerived()
Calculate derived parameters for the 1-, 2-, and 3- compartment linear models.
rxInv()
Invert matrix using RcppArmadillo.
rxIsCurrent()
Checks if the rxode2 object was built with the current build
rxLhs()
Left handed Variables
rxLock() rxUnlock()
Lock/unlocking of rxode2 dll file
rxNorm()
Get the normalized model
rxParams() rxParam()
Parameters specified by the model
rxProgress() rxTick() rxProgressStop() rxProgressAbort()
rxode2 progress bar functions
rxState()
State variables
rxSymInvChol()
Get Omega^-1 and derivatives
swapMatListWithCube()
Swaps the matrix list with a cube
uppergamma()
uppergamma: upper incomplete gamma function

User functions

linMod() linMod0() linModB() linModB0() linModA() linModA0() linModD() linModD0() linModM() linModM0()
Linear model to replace in rxode2 ui model
rxIntToBase()
Convert a positive base
rxIntToLetter()
Convert a positive integer to a letter series
rxUdfUiControl()
Return the control that is being processed or setup control for processing
rxUdfUiData()
Return the data.frame that is being processed or setup data.frame for processing
rxUdfUiEst()
Return the current estimation method for the UI processing
rxUdfUiIniDf()
Get the rxode2 iniDf of the current UI being processed (or return NULL)
rxUdfUiIniLhs()
Return the lhs parsed language expression
rxUdfUiMv()
Return the model variables that is being processed or setup model variables for processing
rxUdfUiNum()
This gives the current number in the ui of the particular function being called.
rxUdfUiParsing()
Returns if the current ui function is being parsed

Internal Functions

.cbindOme()
cbind Ome
.collectWarnings()
Collect warnings and just warn once.
.copyUi()
This copies the rxode2 UI object so it can be modified
.handleSingleErrTypeNormOrTFoceiBase()
Handle the single error for normal or t distributions
.matchesLangTemplate()
Check if a language object matches a template language object
.modelHandleModelLines()
Handle model lines
.quoteCallInfoLines()
Returns quoted call information
.rxLinCmtGen()
Internal function to generate the model variables for a linCmt() model
.rxWithOptions()
Temporarily set options then restore them while running code
.rxWithWd()
Temporarily set options then restore them while running code
.rxode2ptrs()
Get the rxode2 function pointers
.toClassicEvid()
This converts NONMEM-style EVIDs to classic RxODE events
.vecDf()
Convert numeric vector to repeated data.frame
invWR1d()
One correlation sample from the Inverse Wishart distribution
is.rxStackData()
Return if the object can be stacked
odeMethodToInt()
Conversion between character and integer ODE integration methods for rxode2
print(<rxModelVars>)
Print Values
rLKJ1()
One correlation sample from the LKJ distribution
rxAllowUnload()
Allow unloading of dlls
rxAssignControlValue()
Assign Control Variable
rxAssignPtr()
Assign pointer based on model variables
rxChain() `+`(<solveRxDll>)
rxChain Chain or add item to solved system of equations
rxControlUpdateSens()
This updates the tolerances based on the sensitivity equations
rxDfdy()
Jacobian and parameter derivatives
rxEtDispatchSolve()
Dispatch solve to 'rxode2' solve
rxEvid() as.rxEvid() c(<rxEvid>) `[`(<rxEvid>) as.character(<rxEvid>) `[[`(<rxEvid>) `units<-`(<rxEvid>) c(<rxRateDur>) format(<rxEvid>) format(<rxRateDur>) print(<rxEvid>)
EVID formatting for tibble and other places.
rxFun() rxRmFun()
Add/Create C functions for use in rxode2
rxGetControl()
rxGetControl option from ui
rxGetLin()
Get the linear compartment model true function
rxGetrxode2()
Get rxode2 model from object
rxHtml()
Format rxSolve and related objects as html.
rxIndLinState()
Set the preferred factoring by state
rxIndLinStrategy()
This sets the inductive linearization strategy for matrix building
rxParseSuppressMsg()
Respect suppress messages
rxPreferredDistributionName()
Change distribution name to the preferred distribution name term
rxRateDur() `[`(<rxRateDur>) as.rxRateDur() as.character(<rxRateDur>) `[[`(<rxRateDur>)
Creates a rxRateDur object
rxRemoveControl()
rxRemoveControl options for UI object
rxReservedKeywords
A list and description of rxode2 supported reserved keywords
rxS()
Load a model into a symengine environment
rxSetControl()
rxSetControl options for UI object
rxSetIni0()
Set Initial conditions to time zero instead of the first observed/dosed time
rxSetProgressBar()
Set timing for progress bar
rxStack()
Stack a solved object for things like default ggplot2 plot
rxSupportedFuns()
Get list of supported functions
rxSuppressMsg()
Respect suppress messages
rxSyncOptions()
Sync options with rxode2 variables
rxSyntaxFunctions
A list and description of Rode supported syntax functions
rxTempDir()
Get the rxode2 temporary directory
rxTheme()
rxTheme is the ggplot2 theme for rxode2 plots
rxToSE() .rxToSE() rxFromSE() .rxFromSE()
rxode2 to symengine environment
rxTrans()
Translate the model to C code if needed
rxUiGet()
S3 for getting information from UI model
rxode2parse()
Internal translation to get model variables list
rxode2parseAssignTranslation()
This assigns the c level linkages for a roxde2 model
rxode2parseD()
This gives the derivative table for rxode2
rxode2parseGetPackagesToLoad() rxode2parseAssignPackagesToLoad()
Control the packages that are loaded when a rxode2 model dll is loaded
rxode2parseGetPointerAssignment()
This function gets the currently assigned function pointer assignments
rxode2parseGetTranslation()
This function gets the currently assigned translations
summary(<rxode2>)
Print expanded information about the rxode2 object.
rxUiDeparse()
This is a generic function for deparsing certain objects when printing out a rxode2 object. Currently it is used for any meta-information

Neural Network Activation functions

ELU()
Exponential Linear Unit (ELU) Activation Function
GELU()
GELU activation function
PReLU()
Parametric ReLU Activation Function
ReLU()
Rectified Linear Unit (ReLU) Activation Function
SELU()
Scaled Exponential Linear Unit (SELU) Activation Function
Swish()
Switch Activation Function
dELU() d2ELU() d2aELU() dELUa() d2ELUa()
Derivatives of the Exponential Linear Unit (ELU) Activation Function
dGELU() d2GELU() d3GELU() d4GELU()
Derivatives of GELU
dPReLU() dPReLUa() dPReLUa1()
Derivatives Parametric ReLU Activation Function
dReLU()
Derivative of the Rectified Linear Unit (ReLU) Activation Function
dSELU()
Derivative of the Scaled Exponential Linear Unit (SELU) Activation Function
dSwish()
Derivative of the Swish Activation Function
dlReLU()
Derivative of Leaky ReLU activation function
dsoftplus() d2softplus() d3softplus() d4softplus()
Default Softplus Activation Function
lReLU()
Leaky ReLU activation function
softplus()
Softplus Activation Function

Rxode2 data sets

rxResidualError
A description of Rode2 supported residual errors