https://github.com/billdenney/pknca

An R package is designed to perform all noncompartmental analysis (NCA) calculations for pharmacokinetic (PK) data.
https://github.com/billdenney/pknca

cran nca noncompartmental-analysis pharmacokinetics r

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An R package is designed to perform all noncompartmental analysis (NCA) calculations for pharmacokinetic (PK) data.

• Host: GitHub
• URL: https://github.com/billdenney/pknca
• Owner: billdenney
• License: agpl-3.0
• Created: 2014-12-31T18:20:20.000Z (almost 10 years ago)
• Default Branch: main
• Last Pushed: 2023-11-20T15:10:46.000Z (about 1 year ago)
• Last Synced: 2023-11-20T16:29:12.688Z (about 1 year ago)
• Topics: cran, nca, noncompartmental-analysis, pharmacokinetics, r
• Language: R
• Homepage: http://billdenney.github.io/pknca/
• Size: 13.1 MB
• Stars: 50
• Watchers: 12
• Forks: 22
• Open Issues: 19
• Metadata Files:
  • Readme: README.md
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE.md
  • Code of conduct: CODE_OF_CONDUCT.md

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The PKNCA R Package 

=====

The PKNCA R package is designed to perform all noncompartmental

analysis (NCA) calculations for pharmacokinetic (PK) data.  The

package is broadly separated into two parts (calculation and summary)

with some additional housekeeping functions.

The primary and secondary goals of the PKNCA package are to 1) only

give correct answers to the specific questions being asked and 2)

automate as much as possible to simplify the task of the analyst. When

automation would leave ambiguity or make a choice that the analyst may

have an alternate preference for, it is either not used, is possible

to override or raises an error message.

Note that backward compatibility will not be guaranteed until version

1.0.  Argument and function changes will continue until then.  These

will be especially noticeable around the inclusion of IV NCA parameters and additional specifications of the drug, which include dose amount and route of administration.

# Citation

Citation information for the PKNCA package is available with a call to

`citation(package="PKNCA")`.  The preferred citation until publication

of version 1.0 is below:

Denney W, Duvvuri S and Buckeridge C (2015). "Simple, Automatic

Noncompartmental Analysis: The PKNCA R Package." _Journal of

Pharmacokinetics and Pharmacodynamics_, *42*(1), pp. 11-107,S65. ISSN

1573-8744, doi: 10.1007/s10928-015-9432-2, .

# Installation

## From CRAN

The current stable version of PKNCA is available on CRAN.  You can

install it and its dependencies using the following command:

    install.packages("PKNCA")

## From GitHub

To install the development version from GitHub, type the following commands:

    install.packages("remotes")

    remotes::install_github("billdenney/pknca")

# Calculating parameters

    # Load the package

    library(PKNCA)

    # Set the business rule options with the PKNCA.options() function

    # Load your concentration-time data

    conc_raw <- read.csv("myconc.csv", stringsAsFactors=FALSE)

    # Load your dose data

    dose_raw <- read.csv("mydose.csv", stringsAsFactors=FALSE)

    # Put your concentration data into a PKNCAconc object

    o_conc <- PKNCAconc(data=conc_raw,

                        formula=conc~time|treatment+subject/analyte)

    # Put your dose data into a PKNCAdose object

    o_dose <- PKNCAdose(data=dose_raw,

                        formula=dose~time|treatment+subject)

    # Combine the two (and automatically determine the intervals of

    # interest

    o_data <- PKNCAdata(o_conc, o_dose)

    # Compute the NCA parameters

    o_results <- pk.nca(o_data)

    # Summarize the results

    summary(o_results)

More help is available in the function help files. Be sure to look at the PKNCA.options function for choices on making PKNCA conform to your company’s business rules on calculation and summarization.

# Feature requests

Please use the github issues page

(https://github.com/billdenney/pknca/issues) to make feature requests

and bug reports.