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---
output:
github_document:
html_preview: FALSE
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%",
dev = "ragg_png"
)
```
# geokit
<!-- badges: start -->
[](https://github.com/WangLabCSU/geokit/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/WangLabCSU/geokit)
<!-- badges: end -->
The goal of `geokit` is to provide a comprehensive interface for most
interactions between R and [GEO database](https://www.ncbi.nlm.nih.gov/geo/).
## Installation
You can install the development version of `geokit` from
[R-universe](https://wanglabcsu.r-universe.dev) (Recommended):
```{r, eval=FALSE}
install.packages("geokit",
repos = c(
"https://wanglabcsu.r-universe.dev",
"https://cloud.r-project.org"
)
)
```
or from [GitHub](https://github.com/WangLabCSU/geokit) (Require `rust` to
compile) with:
```{r, eval=FALSE}
if (!requireNamespace("pak")) {
install.packages("pak",
repos = sprintf(
"https://r-lib.github.io/p/pak/devel/%s/%s/%s",
.Platform$pkgType, R.Version()$os, R.Version()$arch
)
)
}
pak::pak("WangLabCSU/geokit")
```
## Learning geokit
Check out the [guides](https://wanglabcsu.github.io/geokit/) for learning
everything, there is to know about all the different features.