Package: ncappc 1.0.0.9000

Andrew C. Hooker

ncappc: NCA Calculations and Population Model Diagnosis

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. The methods are described in Acharya et al. (2016) <doi:10.1016/j.cmpb.2016.01.013>.

Authors:Chayan Acharya [aut], Gulbeyaz Y. Turkyilmaz [aut], Siv Jonsson [aut], Mats O. Karlsson [aut], Andrew C. Hooker [aut, cre]

ncappc_1.0.0.9000.tar.gz
ncappc_1.0.0.9000.zip(r-4.7)ncappc_1.0.0.9000.zip(r-4.6)ncappc_1.0.0.9000.zip(r-4.5)
ncappc_1.0.0.9000.tgz(r-4.6-any)ncappc_1.0.0.9000.tgz(r-4.5-any)
ncappc_1.0.0.9000.tar.gz(r-4.7-any)ncappc_1.0.0.9000.tar.gz(r-4.6-any)
ncappc_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ncappc/json (API)
NEWS

# Install 'ncappc' in R:

install.packages('ncappc', repos = c('https://uupharmacometrics.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uupharmacometrics/ncappc/issues

Pkgdown/docs site:https://uupharmacometrics.github.io

On CRAN:

5.64 score 17 stars 17 scripts 306 downloads 1 mentions 16 exports 73 dependencies

Last updated from:071bb256d8. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	165
source / vignettes	OK	220
linux-release-x86_64	OK	171
macos-release-arm64	OK	167
macos-oldrel-arm64	OK	136
windows-devel	OK	113
windows-release	OK	103
windows-oldrel	OK	111
wasm-release	OK	154

Exports:calc.stat dv.plot est.nca histobs.plot histpop.plot nca.check.obs nca.check.sim nca.deviation.plot nca.ind.data nca.npde nca.npde.plot nca.pde.deviation.outlier nca.read.sim ncappc out.digits read_nm_table

Dependencies:base64enc bit bit64 bookdown boot bslib cachem cli clipr codetools cpp11 crayon digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gridExtra gtable gtools highr hms htmltools isoband jquerylib jsonlite knitr labeling lazyeval lifecycle magrittr MASS memoise mime mvtnorm pillar pkgconfig plyr PopED prettyunits progress purrr R6 rappdirs RColorBrewer Rcpp readr reshape2 rlang rmarkdown S7 sass scales stringi stringr tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite vroom withr xfun xtable yaml

Introduction to the ncappc package

Chayan Acharya, Andrew C. Hooker, Siv Jönsson, Mats O. Karlsson

Rendered fromncappc-vignette.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2018-06-07
Started: 2015-02-25

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculates a set of statistics for a given array of numbers.	calc.stat
Plots drug plasma concentration vs time data	dv.plot
Estimate individual NCA metrics.	est.nca
Plots histogram of selected set of NCA metrics.	histobs.plot
Plots population histogram of the NCA metrics selected for model diagnosis.	histpop.plot
Prepare individual PK data	nca_ind_data
Check observed data	nca.check.obs
Check simulated data	nca.check.sim
Plot individual deviation of NCA metrics estimated from observed and simulated data	nca.deviation.plot
Prepare individual PK data	nca.ind.data
Calculates individual normalized prediction distribution errors (NPDE) from PDE data.	nca.npde
Plots population histogram of the NCA metrics selected for model diagnosis.	nca.npde.plot
Calculates individual prediction distribution errors (PDE) and scaled deviation of NCA metrics estimated from observed and simulated data. Identifies outlier to population PK model.	nca.pde.deviation.outlier
Check observed data	nca.read.sim
Performs NCA calculations and population PK model diagnosis.	ncappc
output value with correct digits and trailing zero	out.digits
Read NONMEM table files produced.	read_nm_table