https://github.com/clinda-aau/loamr
Limits of agreement with the mean - R
Science Score: 39.0%
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Limits of agreement with the mean - R
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- Stars: 2
- Watchers: 4
- Forks: 1
- Open Issues: 1
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Created over 6 years ago
· Last pushed 9 months ago
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Readme
License
README.Rmd
---
output: github_document
---
```{r include=FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
library(knitr)
library(loamr)
set.seed(1)
```
# loamr: limits of agreement with the mean
`loamr` is an `R` package for performing agreement analysis on continuous measurements made by multiple observers. The package provides functions for making agreement plots and for calculating the estimate and CI for the limits of agreement with the mean proposed by Christensen et al. (2020).
## Installation
`loamr` can be installed using the following command:
```{r, eval = FALSE}
devtools::install_github("CLINDA-AAU/loamr")
```
## Example
The package includes a function to simulate data from the two-way random effects model
described in Christensen et al. (2020):
```{r}
sim <- simMD(mu = 5)
head(sim)
```
Estimate and CI for the limits of agreements with the mean:
```{r}
LOAM(sim)
```
The S3 class includes a generic plotting function made with `ggplot2` for making an
agreement plot with indication of estimate and CI for the limits of agreement with the mean:
```{r}
plot(LOAM(sim))
```
Elements of the plot is easily changed using functionalities from `ggplot2`. For
example, changing the title:
```{r fig.height=4, fig.width=10}
plot(LOAM(sim)) + ggplot2::labs(title = "Simulated Data")
```
## References
1. Christensen, H. S., Borgbjerg, J., Børty, L., and Bøgsted, M. (2020)
"On Jones et al.'s method for extending Bland-Altman plots to limits of agreement with the mean for
multiple observers". BMC Medical Research Methodology. https://doi.org/10.1186/s12874-020-01182-w
Owner
- Name: Center for Clinical Data Science (CLINDA)
- Login: CLINDA-AAU
- Kind: organization
- Location: Aalborg, Denmark
- Website: https://clinda.aau.dk/
- Repositories: 17
- Profile: https://github.com/CLINDA-AAU
Center for Clinical Data Science - Aalborg University & Aalborg University Hospital
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Dependencies
DESCRIPTION
cran
- R >= 3.5.0 depends
- MASS * imports
- Rdpack * imports
- dplyr * imports
- ggplot2 * imports
- knitr * imports
- magrittr * imports
- rlang * imports
- tibble * imports
- tidyr * imports