Package index • admixr2

Fitting

Main entry point and data helper.

admData(): Dummy data frame for nlmixr2 dispatch
nlmixr2Est(<adfo>): Fit an aggregate data model via First-Order (FO) approximation
nlmixr2Est(<admc>): Fit an aggregate data model via Monte Carlo (admc estimator)
nlmixr2Est(<adgh>): Fit an aggregate data model via Gauss-Hermite quadrature
nlmixr2Est(<adirmc>): Fit an aggregate data model via Iterative Reweighting MC (adirmc estimator)

Writing down the studies

Describe a source the way its paper does — the model it published, the cohort it enrolled — and let admixr2 assemble the summary it implies.

admStudy(): Write down a published study
admStudies(): Collect the studies a meta-analysis draws on
admPopulation(): Describe the population a study enrolled

Covariates

Declare the covariate distribution a source enrolled, and how it enters the fit.

covDist(): Describe the covariate distribution a study's subjects span
covStrata(): Cut a covariate distribution into strata
covDraw(): Draw covariate values from a cov_dist specification

Simulation

Generate aggregate data from models for simulation studies.

datagen(): Generate aggregate study data from (possibly different) pharmacometric models
datagenControl(): Control parameters for datagen()

Control objects

Configuration for each estimator.

adfoControl(): Control settings for the FO (First-Order) estimator
admControl(): Control settings for the ADM estimator
adghControl(): Control settings for the Gauss-Hermite (GH) quadrature estimator
adirmcControl(): Control settings for the IRMC estimator
admStopWorkers(): Stop parallel workers

Methods

S3 methods for fit objects.

print(<admFit>): Print method for admFit objects
plot(<admFit>): Diagnostic plots for an admixr2 fit
anova(<admFit>): Compare nested admixr2 fits by a likelihood-ratio test
admMoments(): Observed and predicted aggregate moments, tidied

Data

Example datasets.

examplomycin: Examplomycin dataset