A flexible tool that can perform (i) traditional non-compartmental analysis (NCA) and (ii) Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics.
A flexible tool that can perform:
You need to have R installed. Download the latest version of R from www.r-project.org. Install ncappc in R using one of the following methods:
install_github()approach requires that you build from source, i.e.
makeand compilers must be installed on your system -- see the R FAQ for your operating system; you may also need to install dependencies manually.
New mean and variance of NCA metrics histogram plots
Updating how reports are generated and standardizing how they appear
Change how estimate_nca works, making tidy calculations the default and assuring that that the same function works for both real and simulated data
Added parallel computation of NCA metrics for simulated data
Added a number of automatic tests used for checking the package includung results from ncappc publication.
NEWS.md file to track changes to the package.
Fixed depencies between ggplot2, grid and scales
More examples added to documentation
Allowing extrapolation for fewer than three points in the elimination phase of a profile
Allow timing messages to be turned on and off.
linear-log option was changed to linearup-logdown
Central tendency measure for NCA metrics changed from mean to median
Changed package maintainer
MRTINF pitfall fixed
Added continuous integration
Made onlyNCA work as it should