Generation of a MONOLIX TTE project

This is a function under development! Please use with care. It only works with MONOLIX and the required version is 2018R1 or above.

IQRtteProject(model = "Weibull", comment = "", repeated = FALSE,
  delay = FALSE, modelSpec = NULL, data = data, projectPath = NULL,
  toolVersion = NULL, algOpt.SEED = 123456, algOpt.K1 = 500,
  algOpt.K2 = 200, algOpt.NRCHAINS = 1,
  algOpt.individualParameters = "ConditionalMode",
  algOpt.indivMCMClength = 50, algOpt.indivNsim = 10,
  algOpt.indivRatio = 0.05, algOpt.variability = "FirstStage")

Arguments

model

String with type of model ("Weibull","Exponential","Gompertz","Log-logistic","Uniform","Gamma","Generalized-Gamma")

comment

Character string. Allows the user to enter some information about the model. This can be displayed in summary tables. It is stored in the model in the metadata section

repeated

Boolean to indicated if single or repeated events

delay

Boolean to indicate if a delay should be taken into account

modelSpec

Same entries as for IQRnlmeProject (except the prior information)

data

Same information as for IQRnlmeProject

projectPath

Path where to generate the TTE project

toolVersion

Character string with the tool version name as defined in the setup_options_IQRtools.R file (can be set with setup_IQRtools() function). By default the first option defined in the respective lists in setup_options_IQRtools.R is used.

algOpt.SEED

Seed for MONOLIX SAEM

algOpt.K1

First iterations for SAEM.

algOpt.K2

Second iterations for SAEM.

algOpt.NRCHAINS

Number of chains

algOpt.individualParameters

'conditionalMode' (default), 'conditionalMean', or 'All'

algOpt.indivMCMClength

MONOLIX option if individualParameters 'conditionalMean' or 'All'. Interval length of the MCMC convergence assessment for the conditional distribution

algOpt.indivNsim

MONOLIX option if individualParameters 'conditionalMean' or 'All'. Number of simulated individual parameters per individual

algOpt.indivRatio

MONOLIX option if individualParameters 'conditionalMean' or 'All'. Relative interval width (between 0 and 1)

algOpt.variability

= 'no', 'Decreasing', 'FirstStage' (default), 'Mixed'

See also