Title: Assembly of Pharmacometric Models
Description: Construct pharmacometric nonlinear mixed effect models by combining
predefined model components and automatically generate model code for NONMEM.
Models are created by combining parameter and observation models, algebraic
relationships, compartments, and flows. Pharmacokinetic models can be assembled
from the higher-order components: absorption, distribution, and elimination.
The generated code is optimized for performance by recognizing, for example,
linear differential equations or differential equations with an analytic
Suggests: testthat (>= 3.0.2), knitr, rmarkdown, covr, withr, markdown
Imports: purrr, rlang, magrittr, methods, glue, vctrs (>= 0.3.4), cli
Collate: 'advans.R' 'generics.R' 'facet.R' 'conversion.R' 'model.R'
Author: Sebastian Ueckert [aut, cre, cph]

Suggests: testthat (>= 3.0.2), knitr, rmarkdown, covr, withr, markdown,
Imports: purrr (>= 0.3.0), rlang, magrittr, methods, glue, vctrs (>=

Description: Lightweight validation tool for checking function arguments and
validating data analysis scripts. This is an alternative to stopifnot() from
the 'base' package  and to assert_that() from the 'assertthat' package. It
provides more informative error messages and facilitates debugging.
Packaged: 2020-10-15 14:09:04 UTC; olivierbinette

Packaged: 2020-11-28 16:33:56 UTC; olivierbinette

Title: Verbose Assertions for Tabular Data (Data.frames and
Description: Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.

Authors@R: person("Grant", "Nguyen", email="gngu@uw.edu", role = c("aut", "cre"))