Title: Normalised Prediction Distribution Errors for Nonlinear
Description: Provides routines to compute normalised prediction distribution errors, a metric designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics. Documentation about 'npde' is provided by a comprehensive user guide on the github repository (<https://github.com/ecomets/npde30/blob/main/userguide_npde_3.0.pdf>), and references concerning the methods include the papers by Brendel et al. (2006, <doi:10.1007/s11095-006-9067-5>; 2010, <doi:10.1007/s10928-009-9143-7>), Comets et al. (2008, <doi:10.1016/j.cmpb.2007.12.002> ; 2010, <http://journal-sfds.fr/article/view/45>), and Nguyen et al. (2012, <doi:10.1007/s10928-012-9264-2>). See 'citation("npde")' for details.
Imports: methods, scales, mclust, testthat, rlang
Author: Emmanuelle Comets [aut, cre] (<https://orcid.org/0000-0002-9150-9886>),

Description: Provides routines to compute normalised prediction distribution errors, a metric designed to evaluate non-linear mixed effect models such as those used in pharmacokinetics and pharmacodynamics.
Imports: methods, scales, ggplot2, mclust, grid, gridExtra, testthat,

Imports: methods, scales, ggplot2, mclust, grid, gridExtra, rlang

Title: Planning and Analysing Survival Studies under Non-Proportional
person("Robin", "Ristl", email = "robin.ristl@meduniwien.ac.at", role = c("aut", "cre")),
person("Nicolas", "Ballarini", email = "nicolas.ballarini@meduniwien.ac.at", role = c("ctb")))
Description: Piecewise constant hazard functions are used to flexibly model survival distributions with non-proportional hazards and
to simulate data from the specified distributions. Also, a function to calculate weighted log-rank tests for the
comparison of two hazard functions is included. Finally, a function to calculate a test using the maximum of a set of
test statistics from weighted log-rank tests is provided. This test utilizes the asymptotic multivariate normal joint distribution
of the separate test statistics. The correlation is estimated from the data.
Imports: stats, graphics, mvtnorm, ggplot2
Suggests: knitr, shiny, shinycssloaders, formatR, styler, rmarkdown