poolabc
Tools for Approximate Bayesian Computation With Pooled Sequencing Data
Science Score: 10.0%
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Tools for Approximate Bayesian Computation With Pooled Sequencing Data
Basic Info
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- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Created over 3 years ago
· Last pushed over 2 years ago
https://github.com/vsousa/poolABC/blob/master/
# poolABC
[](https://zenodo.org/badge/latestdoi/564786207)
The goal of `poolABC` is to help users perform model choice and
parameter inference using Pool-seq data integrated into an Approximate
Bayesian Computation (ABC) framework. This package provides functions to
simulate Pool-seq data under models of ecotype formation and to import
Pool-seq data from real populations. Two ABC algorithms are implemented
to perform parameter estimation and model selection using Pool-seq data.
Cross-validation can also be performed to assess the accuracy of ABC
estimates and calculate model misclassification.
## Installation
You can install the development version of `poolABC` from
[GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("joao-mcarvalho/poolABC")
```
Alternatively, you can install the current stable version of `poolABC`
from CRAN:
``` r
install.packages("poolABC")
```
Owner
- Name: Vitor Sousa
- Login: vsousa
- Kind: user
- Location: FCUL, University of Lisbon
- Company: Evolutionary Genetics group, CE3C
- Repositories: 2
- Profile: https://github.com/vsousa