ncappc/README.Rmd at master · UUPharmacometrics/ncappc · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# ncappc: NCA Calculations and population model diagnosis

<!-- badges: start -->
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ncappc)](https://CRAN.R-project.org/package=ncappc)
[![R-CMD-check](https://github.com/UUPharmacometrics/ncappc/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/UUPharmacometrics/ncappc/actions/workflows/R-CMD-check.yaml)
[![Codecov test coverage](https://codecov.io/gh/UUPharmacometrics/ncappc/graph/badge.svg)](https://app.codecov.io/gh/UUPharmacometrics/ncappc)
<!-- badges: end -->

ncappc performs NCA Calculations and population model diagnosis using posterior predictive checks generated from data simulated by a population model.

ncappc is a flexible tool that can perform:

1. Traditional non-compartmental analysis (NCA) and
2. Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics.

You can read more at the [website for the stable version of ncappc](https://uupharmacometrics.github.io/ncappc/) or the [website for the development version of ncappc](https://uupharmacometrics.github.io/ncappc/dev/)

## Installation

You need to have R installed.  Download the latest version of R from www.r-project.org.

You can install the latest stable release from CRAN:

```r
install.packages("ncappc")
```

You can install the development version of ncappc from [GitHub](https://github.com/) with:

``` r
# install.packages("pak")
pak::pak("UUPharmacometrics/ncappc")
```

<!-- ## Example -->

<!-- This is a basic example which shows you how to solve a common problem: -->

<!-- ```{r example} -->
<!-- library(ncappc) -->
<!-- ## basic example code -->
<!-- ``` -->

<!-- What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so: -->

<!-- ```{r cars} -->
<!-- summary(cars) -->
<!-- ``` -->

<!-- You'll still need to render `README.Rmd` regularly, to keep `README.md` up-to-date. `devtools::build_readme()` is handy for this. -->

<!-- You can also embed plots, for example: -->

<!-- ```{r pressure, echo = FALSE} -->
<!-- plot(pressure) -->
<!-- ``` -->

<!-- In that case, don't forget to commit and push the resulting figure files, so they display on GitHub and CRAN. -->