{"Package":"PKNCA","Type":"Package","Title":"Perform Pharmacokinetic Non-Compartmental Analysis","Version":"0.11.0","Authors@R":"c(\nperson(\"Bill\", \"Denney\", email=\"wdenney@humanpredictions.com\", role=c(\"aut\", \"cre\"), comment=c(ORCID=\"0000-0002-5759-428X\")),\nperson(\"Clare\", \"Buckeridge\", email=\"clare.buckeridge@pfizer.com\", role=\"aut\"),\nperson(\"Sridhar\", \"Duvvuri\", role=\"ctb\"))","Imports":"checkmate, dplyr (>= 0.5.0), digest, nlme, purrr, rlang,\nstats, tidyr, tibble, utils, lifecycle","Suggests":"covr, cowplot, ggplot2, knitr, labeling, pander, pmxTools,\nrmarkdown, spelling, testthat (>= 3.0.0), units, withr","Description":"Compute standard Non-Compartmental Analysis (NCA) parameters for\ntypical pharmacokinetic analyses and summarize them.","License":"AGPL-3","URL":"https://billdenney.github.io/pknca/,\nhttps://github.com/billdenney/pknca,\nhttp://billdenney.github.io/pknca/","BugReports":"https://github.com/billdenney/pknca/issues","NeedsCompilation":"no","VignetteBuilder":"knitr","RoxygenNote":"7.3.1","Config/testthat/edition":"3","Encoding":"UTF-8","Language":"en-US","Packaged":"2024-06-19 12:11:59 UTC; bill","Author":"Bill Denney [aut, cre] (),\nClare Buckeridge [aut],\nSridhar Duvvuri [ctb]","Maintainer":"Bill Denney ","Repository":"CRAN","Date/Publication":"2024-06-19 13:00:06 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/PKNCA_0.11.0.tar.gz","jsonAuthors":[{"name":"Bill Denney","email":"wdenney@humanpredictions.com","maintainer":true},{"name":"Clare Buckeridge","email":"clare.buckeridge@pfizer.com","maintainer":false},{"name":"Sridhar Duvvuri","email":null,"maintainer":false}],"readme":"\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/PKNCA)](https://cran.r-project.org/package=PKNCA)\n[![R-CMD-check](https://github.com/billdenney/pknca/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/billdenney/pknca/actions/workflows/R-CMD-check.yaml)\n[![Code_Coverage_Badge](https://codecov.io/github/billdenney/pknca/coverage.svg?branch=main)](https://app.codecov.io/github/billdenney/pknca?branch=main)\n[![CodeFactor](https://www.codefactor.io/repository/github/billdenney/pknca/badge?style=plastic)](https://www.codefactor.io/repository/github/billdenney/pknca)\n[![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/2054/badge)](https://bestpractices.coreinfrastructure.org/projects/2054)\n\n\nThe PKNCA R Package

\n=====\n\nThe PKNCA R package is designed to perform all noncompartmental\nanalysis (NCA) calculations for pharmacokinetic (PK) data. The\npackage is broadly separated into two parts (calculation and summary)\nwith some additional housekeeping functions.\n\nThe primary and secondary goals of the PKNCA package are to 1) only\ngive correct answers to the specific questions being asked and 2)\nautomate as much as possible to simplify the task of the analyst. When\nautomation would leave ambiguity or make a choice that the analyst may\nhave an alternate preference for, it is either not used or is possible\nto override.\n\nNote that backward compatibility will not be guaranteed until version\n1.0. Argument and function changes will continue until then. These\nwill be especially noticeable around the inclusion of IV NCA parameters\nand additional specifications of the dosing including dose amount and\nroute.\n\n# Citation\n\nCitation information for the PKNCA package is available with a call to\n`citation(package=\"PKNCA\")`. The preferred citation until publication\nof version 1.0 is below:\n\nDenney W, Duvvuri S and Buckeridge C (2015). \"Simple, Automatic\nNoncompartmental Analysis: The PKNCA R Package.\" _Journal of\nPharmacokinetics and Pharmacodynamics_, *42*(1), pp. 11-107,S65. ISSN\n1573-8744, doi: 10.1007/s10928-015-9432-2, .\n\n# Installation\n\n## From CRAN\n\nThe current stable version of PKNCA is available on CRAN. You can\ninstall it and its dependencies using the following command:\n\n install.packages(\"PKNCA\")\n\n## From GitHub\n\nTo install the development version from GitHub, type the following commands:\n\n install.packages(\"remotes\")\n remotes::install_github(\"billdenney/pknca\")\n\n# Calculating parameters\n\n # Load the package\n library(PKNCA)\n # Set the business rule options with the PKNCA.options() function\n # Load your concentration-time data\n conc_raw <- read.csv(\"myconc.csv\", stringsAsFactors=FALSE)\n # Load your dose data\n dose_raw <- read.csv(\"mydose.csv\", stringsAsFactors=FALSE)\n # Put your concentration data into a PKNCAconc object\n o_conc <- PKNCAconc(data=conc_raw,\n formula=conc~time|treatment+subject/analyte)\n # Put your dose data into a PKNCAdose object\n o_dose <- PKNCAdose(data=dose_raw,\n formula=dose~time|treatment+subject)\n # Combine the two (and automatically determine the intervals of\n # interest\n o_data <- PKNCAdata(o_conc, o_dose)\n # Compute the NCA parameters\n o_results <- pk.nca(o_data)\n # Summarize the results\n summary(o_results)\n\nMore help is available in the function help files, and be sure to look\nat the PKNCA.options function for many choices to make PKNCA conform\nto your company's business rules for calculations and summarization.\n\n# Feature requests\n\nPlease use the github issues page\n(https://github.com/billdenney/pknca/issues) to make feature requests\nand bug reports.","jobInfo":{"package":"PKNCA","version":"0.11.0","parsingStatus":"success","parserVersion":2,"parsedAt":"2024-06-19T14:29:49+0000"}}

Description

Usage

Arguments

Value

See Also

Examples